{"updated":"2026-10-09","columns":["title","url","featured","lag_days","cites","venue","track"],"rows":[["DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models","https://arxiv.org/abs/2402.03300","2024-02-07",2,9718,null,"ml"],["Mamba: Linear-Time Sequence Modeling with Selective State Spaces","https://arxiv.org/pdf/2312.00752.pdf","2024-06-05",187,9474,null,"ml"],["Mistral 7B","https://arxiv.org/abs/2310.06825","2023-10-16",6,4011,null,"ml"],["MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark","https://arxiv.org/abs/2406.01574","2024-10-09",128,2343,"Neural Information Processing Systems","ml"],["Depth Anything V2","https://arxiv.org/abs/2406.09414","2024-06-20",7,2329,"Neural Information Processing Systems","ml"],["Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","https://arxiv.org/abs/2408.03314","2024-08-07",1,2266,null,"ml"],["Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality","https://arxiv.org/abs/2405.21060","2024-06-05",5,2044,"International Conference on Machine Learning","ml"],["Octo: An Open-Source Generalist Robot Policy","https://arxiv.org/abs/2405.12213","2024-05-22",2,2026,"Robotics: Science and Systems Conference","ml"],["AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration","https://arxiv.org/abs/2306.00978","2024-07-24",419,1914,"GetMobile: Mobile Computing and Communications","ml"],["Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","https://arxiv.org/abs/2412.05271","2024-12-12",6,1802,null,"ml"],["Qwen2.5-Coder Technical Report","https://arxiv.org/abs/2409.12186","2024-09-25",7,1628,null,"ml"],["MemGPT: Towards LLMs as Operating Systems","https://arxiv.org/abs/2310.08560","2023-10-16",4,1558,null,"ml"],["s1: Simple test-time scaling","https://arxiv.org/pdf/2501.19393","2025-02-05",5,1521,"Conference on Empirical Methods in Natural Language Processing","ml"],["DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model","https://arxiv.org/abs/2405.04434","2024-05-22",15,1507,null,"ml"],["Mastering Diverse Domains through World Models","https://arxiv.org/abs/2301.04104","2024-04-24",470,1485,null,"ml"],["SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models","http://dx.doi.org/10.48550/arxiv.2303.08896","2023-10-16",215,1302,"Conference on Empirical Methods in Natural Language Processing","ml"],["Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","https://arxiv.org/abs/2404.02905","2024-06-12",70,1209,"Neural Information Processing Systems","ml"],["SimPO: Simple Preference Optimization with a Reference-Free Reward","https://arxiv.org/abs/2405.14734","2024-07-10",48,1206,"Neural Information Processing Systems","ml"],["A Simple and Effective Pruning Approach for Large Language Models","https://arxiv.org/pdf/2306.11695.pdf","2024-05-08",323,1012,"International Conference on Learning Representations","ml"],["PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis","https://arxiv.org/abs/2310.00426","2024-01-03",95,993,"International Conference on Learning Representations","ml"],["TÜLU 3: Pushing Frontiers in Open Language Model Post-Training","https://arxiv.org/abs/2411.15124","2025-02-05",75,975,null,"ml"],["Simple and Effective Masked Diffusion Language Models","https://arxiv.org/abs/2406.07524","2024-06-12",1,947,"Neural Information Processing Systems","ml"],["TinyLlama: An Open-Source Small Language Model","https://arxiv.org/abs/2401.02385","2024-01-09",5,934,null,"ml"],["Training Large Language Models to Reason in a Continuous Latent Space","https://arxiv.org/abs/2412.06769","2024-12-12",3,811,null,"ml"],["Fourier Neural Operator with Learned Deformations for PDEs on General Geometries","https://arxiv.org/abs/2207.05209","2024-05-08",667,765,"J. Mach. Learn. Res.","ml"],["KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization","https://arxiv.org/abs/2401.18079","2024-04-10",70,745,"Neural Information Processing Systems","ml"],["FAST: Efficient Action Tokenization for Vision-Language-Action Models","https://arxiv.org/abs/2501.09747","2025-01-23",7,741,"Robotics","ml"],["LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS","https://arxiv.org/abs/2311.17245","2024-04-03",127,685,"Neural Information Processing Systems","ml"],["BLINK: Multimodal Large Language Models Can See but Not Perceive","https://arxiv.org/pdf/2404.12390.pdf","2024-04-24",6,644,"European Conference on Computer Vision","ml"],["Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives","https://arxiv.org/abs/2311.18259","2024-05-01",153,637,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting","https://arxiv.org/pdf/2310.10642.pdf","2023-10-18",2,635,"International Conference on Learning Representations","ml"],["Scalable Extraction of Training Data from (Production) Language Models","https://arxiv.org/abs/2311.17035","2023-12-06",8,629,null,"ml"],["Continuous 3D Perception Model with Persistent State","https://arxiv.org/abs/2501.12387","2025-01-23",2,621,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Ferret: Refer and Ground Anything Anywhere at Any Granularity","https://arxiv.org/abs/2310.07704","2023-10-16",5,618,"International Conference on Learning Representations","ml"],["TOFU: A Task of Fictitious Unlearning for LLMs","https://arxiv.org/abs/2401.06121","2024-01-17",6,612,null,"ml"],["FateZero: Fusing Attentions for Zero-shot Text-based Video Editing","https://arxiv.org/abs/2303.09535","2023-10-16",214,589,"2023 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks","https://arxiv.org/abs/2404.02151","2024-06-20",79,587,"International Conference on Learning Representations","ml"],["Causal Reasoning and Large Language Models: Opening a New Frontier for Causality","https://arxiv.org/abs/2305.00050","2024-08-21",481,587,"Trans. 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Res.","ml"],["LlaVA-CoT: Let Vision Language Models Reason Step-By-Step","https://arxiv.org/abs/2411.10440","2024-11-20",5,579,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Gated Linear Attention Transformers with Hardware-Efficient Training","https://arxiv.org/abs/2312.06635","2023-12-13",2,578,"International Conference on Machine Learning","ml"],["Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models","https://arxiv.org/abs/2405.01535","2024-05-08",6,564,"Conference on Empirical Methods in Natural Language Processing","ml"],["FinGPT: Open-Source Financial Large Language Models","https://arxiv.org/abs/2306.06031","2023-06-14",5,509,null,"finance"],["Llemma: An Open Language Model For Mathematics","https://arxiv.org/abs/2310.10631","2023-10-18",2,506,"International Conference on Learning Representations","ml"],["Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model","https://arxiv.org/abs/2408.11039","2024-08-21",1,500,null,"ml"],["Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation","https://arxiv.org/abs/2410.13848","2024-10-23",6,498,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["SliceGPT: Compress Large Language Models by Deleting Rows and Columns","https://arxiv.org/abs/2401.15024","2024-01-30",4,490,"International Conference on Learning Representations","ml"],["CAT3D: Create Anything in 3D with Multi-View Diffusion Models","http://arxiv.org/abs/2405.10314","2024-05-22",6,490,"Neural Information Processing Systems","ml"],["Scaling Synthetic Data Creation with 1,000,000,000 Personas","https://arxiv.org/abs/2406.20094","2024-07-03",5,486,null,"ml"],["Training Language Models to Self-Correct via Reinforcement Learning","https://arxiv.org/abs/2409.12917","2024-10-09",20,481,"International Conference on Learning Representations","ml"],["NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking","http://arxiv.org/abs/2406.15349v1","2024-11-06",138,458,"Neural Information Processing Systems","ml"],["An Embodied Generalist Agent in 3D World","https://arxiv.org/abs/2311.12871","2024-05-15",179,453,"International Conference on Machine Learning","ml"],["Capabilities of Gemini Models in Medicine","https://arxiv.org/abs/2404.18416","2024-05-08",9,451,null,"ml"],["The Platonic Representation Hypothesis","https://arxiv.org/abs/2405.07987","2024-05-15",2,438,"International Conference on Machine Learning","ml"],["PGSR: Planar-Based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction","https://arxiv.org/pdf/2406.06521","2024-06-12",2,436,"IEEE Transactions on Visualization and Computer Graphics","ml"],["Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models","https://arxiv.org/abs/2501.01423","2025-01-08",6,428,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models","http://dx.doi.org/10.2139/ssrn.4412788","2023-07-05",81,416,null,"finance"],["RAFT: Adapting Language Model to Domain Specific RAG","https://arxiv.org/abs/2403.10131","2024-06-12",89,411,null,"ml"],["OminiControl: Minimal and Universal Control for Diffusion Transformer","https://arxiv.org/abs/2411.15098","2024-11-27",5,385,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Data Selection for Language Models via Importance Resampling","https://arxiv.org/abs/2302.03169","2023-10-25",261,383,"Neural Information Processing Systems","ml"],["Agent Workflow Memory","https://arxiv.org/abs/2409.07429","2024-09-18",7,378,"International Conference on Machine Learning","ml"],["To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","https://arxiv.org/abs/2409.12183","2024-09-25",7,376,"International Conference on Learning Representations","ml"],["Continual Learning of Large Language Models: A Comprehensive Survey","https://arxiv.org/abs/2404.16789","2024-05-01",6,366,"ACM Computing Surveys","ml"],["Improving Alignment and Robustness with Circuit Breakers","https://arxiv.org/abs/2406.04313","2024-06-12",6,363,"Neural Information Processing Systems","ml"],["LongVILA: Scaling Long-Context Visual Language Models for Long Videos","https://arxiv.org/abs/2408.10188","2024-08-21",2,357,"International Conference on Learning Representations","ml"],["Training Software Engineering Agents and Verifiers with SWE-Gym","https://arxiv.org/abs/2412.21139","2025-01-01",2,357,"International Conference on Machine Learning","ml"],["DepthSplat: Connecting Gaussian Splatting and Depth","https://arxiv.org/pdf/2410.13862","2024-10-23",6,334,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?","https://arxiv.org/abs/2405.05904","2024-05-15",6,329,"Conference on Empirical Methods in Natural Language Processing","ml"],["Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders","https://arxiv.org/abs/2407.14435","2024-08-07",19,325,null,"ml"],["Machine Learning for Synthetic Data Generation: a Review","https://arxiv.org/abs/2302.04062","2024-01-09",335,314,null,"ml"],["An Edit Friendly DDPM Noise Space: Inversion and Manipulations","https://arxiv.org/abs/2304.06140","2024-04-10",364,311,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Chain-of-Thought Reasoning Without Prompting","https://arxiv.org/abs/2402.10200","2024-02-21",6,306,"Neural Information Processing Systems","ml"],["Large Language Models can Accurately Predict Searcher Preferences","https://arxiv.org/abs/2309.10621","2024-05-08",232,305,"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","ml"],["SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding","https://arxiv.org/abs/2402.08983","2024-06-12",119,303,"Annual Meeting of the Association for Computational Linguistics","ml"],["ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs","https://arxiv.org/abs/2402.11753","2024-06-12",114,301,"Annual Meeting of the Association for Computational Linguistics","ml"],["Sapiens: Foundation for Human Vision Models","https://arxiv.org/abs/2408.12569","2024-08-28",6,301,"European Conference on Computer Vision","ml"],["Shape of Motion: 4D Reconstruction From a Single Video","https://arxiv.org/pdf/2407.13764","2024-07-24",6,295,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Extreme Compression of Large Language Models via Additive Quantization","https://arxiv.org/abs/2401.06118","2024-02-07",27,290,"International Conference on Machine Learning","ml"],["EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS","https://arxiv.org/pdf/2312.04564.pdf","2023-12-13",6,289,"European Conference on Computer Vision","ml"],["Self-Play Preference Optimization for Language Model Alignment","http://arxiv.org/abs/2405.00675v1","2024-05-28",27,284,"International Conference on Learning Representations","ml"],["Is Self-Repair a Silver Bullet for Code Generation?","https://arxiv.org/pdf/2306.09896.pdf","2024-02-07",236,282,"International Conference on Learning Representations","ml"],["EgoMimic: Scaling Imitation Learning via Egocentric Video","https://arxiv.org/abs/2410.24221","2024-11-06",6,282,"2025 IEEE International Conference on Robotics and Automation (ICRA)","ml"],["LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models","https://arxiv.org/abs/2305.13655v1","2023-10-16",146,279,"Trans. Mach. Learn. Res.","ml"],["Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey","https://arxiv.org/abs/2402.17944","2024-06-12",106,277,"Trans. Mach. Learn. Res.","ml"],["From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function","https://arxiv.org/abs/2404.12358","2024-04-24",6,275,null,"ml"],["AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments","https://arxiv.org/abs/2405.07960","2024-05-15",2,272,null,"ml"],["ShieldGemma: Generative AI Content Moderation Based on Gemma","https://arxiv.org/abs/2407.21772","2024-08-07",7,267,null,"ml"],["FinMem: A Performance-Enhanced LLM Trading Agent With Layered Memory and Character Design","https://arxiv.org/abs/2311.13743","2023-11-29",6,266,"IEEE Transactions on Big Data","finance"],["Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps","https://arxiv.org/abs/2501.09732","2025-01-23",7,262,null,"ml"],["MegaSaM: Accurate, Fast, and Robust Structure and Motion from Casual Dynamic Videos","https://arxiv.org/abs/2412.04463","2024-12-12",7,261,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Does Writing with Language Models Reduce Content Diversity?","https://arxiv.org/abs/2309.05196","2024-07-03",296,259,"International Conference on Learning Representations","ml"],["NVILA: Efficient Frontier Visual Language Models","http://dx.doi.org/10.48550/arxiv.2412.04468","2024-12-12",7,259,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control","https://arxiv.org/abs/2409.08861","2025-01-15",124,252,null,"ml"],["Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","https://arxiv.org/abs/2501.09686","2025-01-23",7,252,null,"ml"],["Accurate RNA 3D structure prediction using a language model-based deep learning approach","https://arxiv.org/abs/2207.01586v1?utm_source=dlvr.it&utm_medium=twitter","2025-01-08",919,251,"Nature Methods","ml"],["Flowedit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models","https://arxiv.org/abs/2412.08629","2024-12-18",7,248,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["A Careful Examination of Large Language Model Performance on Grade School Arithmetic","https://arxiv.org/abs/2405.00332","2024-05-08",7,244,"Neural Information Processing Systems","ml"],["How Far is Video Generation from World Model: A Physical Law Perspective","https://arxiv.org/abs/2411.02385","2024-11-06",2,242,"International Conference on Machine Learning","ml"],["PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation","https://arxiv.org/abs/2404.13026","2024-04-24",5,238,"European Conference on Computer Vision","ml"],["HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction","https://arxiv.org/abs/2408.04948","2024-08-15",6,237,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation","http://arxiv.org/abs/2409.20550v1","2024-10-03",3,237,"Proceedings of the ACM on Software Engineering","ml"],["TableLlama: Towards Open Large Generalist Models for Tables","https://arxiv.org/pdf/2311.09206.pdf","2024-03-27",133,236,"North American Chapter of the Association for Computational Linguistics","ml"],["TradingAgents: Multi-Agents LLM Financial Trading Framework","http://arxiv.org/abs/2412.20138v1","2025-01-01",4,234,null,"finance"],["VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction","https://arxiv.org/pdf/2501.01957","2025-01-08",5,234,"Neural Information Processing Systems","ml"],["Behavior Generation with Latent Actions","https://arxiv.org/abs/2403.03181","2024-03-06",1,233,"International Conference on Machine Learning","ml"],["SOAP: Improving and Stabilizing Shampoo using Adam","https://arxiv.org/abs/2409.11321","2025-02-05",141,232,null,"ml"],["Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero","https://arxiv.org/abs/2511.22782v1","2025-12-01",2844,227,null,"finance"],["Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","https://arxiv.org/abs/2307.16877","2024-04-24",268,226,"Transactions of the Association for Computational Linguistics","ml"],["Not All Language Model Features Are One-Dimensionally Linear","http://arxiv.org/abs/2405.14860v1?utm_source=dlvr.it&utm_medium=twitter","2024-05-28",5,225,"International Conference on Learning Representations","ml"],["Recursive Introspection: Teaching Language Model Agents How to Self-Improve","https://arxiv.org/abs/2407.18219","2024-07-31",6,221,"Neural Information Processing Systems","ml"],["What Algorithms can Transformers Learn? A Study in Length Generalization","https://arxiv.org/abs/2310.16028","2023-10-25",1,219,"International Conference on Learning Representations","ml"],["Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents","https://arxiv.org/abs/2403.02502","2024-07-17",135,215,"Annual Meeting of the Association for Computational Linguistics","ml"],["InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output","https://arxiv.org/abs/2407.03320","2024-07-10",7,212,null,"ml"],["Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers","https://arxiv.org/abs/2409.20537","2024-10-03",3,208,"Neural Information Processing Systems","ml"],["DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs","https://arxiv.org/abs/2406.01721","2024-11-06",156,207,"Advances in Neural Information Processing Systems 37","ml"],["T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation","https://arxiv.org/abs/2407.14505","2025-01-23",188,204,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction","https://arxiv.org/abs/2409.18124","2024-10-03",7,202,"International Conference on Learning Representations","ml"],["MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds","https://arxiv.org/pdf/2405.17421","2024-12-04",191,202,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities","https://arxiv.org/abs/2405.12971","2024-05-22",1,200,"Nature Methods","ml"],["OmniRe: Omni Urban Scene Reconstruction","https://arxiv.org/abs/2408.16760","2024-09-05",7,196,"International Conference on Learning Representations","ml"],["WebLINX: Real-World Website Navigation with Multi-Turn Dialogue","https://arxiv.org/abs/2402.05930","2024-02-14",6,193,"International Conference on Machine Learning","ml"],["TKAN: Temporal Kolmogorov-Arnold Networks","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4825654","2024-05-15",3,191,null,"finance"],["KTO: Model Alignment as Prospect Theoretic Optimization","https://arxiv.org/abs/2402.01306","2024-11-27",299,190,null,"ml"],["Scaling Laws for Fine-Grained Mixture of Experts","https://arxiv.org/abs/2402.07871","2024-02-14",2,188,"International Conference on Machine Learning","ml"],["Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models","https://arxiv.org/abs/2411.04996","2024-11-13",6,186,"Trans. Mach. Learn. Res.","ml"],["Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image","https://arxiv.org/abs/2405.20343","2024-06-05",6,185,"Neural Information Processing Systems","ml"],["Long-form factuality in large language models","http://dx.doi.org/10.48550/arxiv.2403.18802","2024-04-03",7,184,"Neural Information Processing Systems","ml"],["CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization","https://arxiv.org/pdf/2405.12110","2024-07-17",58,181,"European Conference on Computer Vision","ml"],["Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA","https://arxiv.org/abs/2304.06027","2024-05-08",392,179,"Trans. Mach. Learn. Res.","ml"],["AutoWebGLM: A Large Language Model-based Web Navigating Agent","https://arxiv.org/abs/2404.03648","2024-04-10",6,178,"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","ml"],["Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022","https://arxiv.org/abs/2305.04811","2023-10-04",166,176,"Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery","finance"],["Graph Mamba: Towards Learning on Graphs with State Space Models","https://arxiv.org/abs/2402.08678","2024-02-21",8,174,"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","ml"],["Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion","https://arxiv.org/abs/2308.12469","2024-04-03",224,174,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation","https://arxiv.org/abs/2310.02304","2024-08-21",323,172,null,"ml"],["Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs","https://arxiv.org/abs/2501.18585","2025-02-05",6,172,null,"ml"],["Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia","https://arxiv.org/abs/2312.03664","2023-12-13",7,171,null,"ml"],["Learning Performance-Improving Code Edits","https://arxiv.org/abs/2302.07867","2024-05-01",441,170,"International Conference on Learning Representations","ml"],["OpenAgents: An Open Platform for Language Agents in the Wild","https://arxiv.org/abs/2310.10634","2023-10-18",2,169,null,"ml"],["Learning Visuotactile Skills With Two Multifingered Hands","http://arxiv.org/abs/2404.16823v1?utm_source=dlvr.it&utm_medium=twitter","2024-05-01",6,166,"2025 IEEE International Conference on Robotics and Automation (ICRA)","ml"],["The Remarkable Robustness of LLMs: Stages of Inference?","http://arxiv.org/abs/2406.19384v1","2024-07-03",6,166,null,"ml"],["Know Your Limits: A Survey of Abstention in Large Language Models","https://arxiv.org/abs/2407.18418","2024-08-15",21,165,"Trans. 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Identifying Benign Data that Breaks Safety","https://arxiv.org/abs/2404.01099","2024-08-21",142,129,null,"ml"],["SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales","https://arxiv.org/abs/2405.20974","2024-10-09",131,129,"Conference on Empirical Methods in Natural Language Processing","ml"],["Stable Flow: Vital Layers for Training-Free Image Editing","https://arxiv.org/abs/2411.14430","2024-11-27",6,128,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["FinGPT: Democratizing Internet-scale Data for Financial Large Language Models","https://arxiv.org/abs/2307.10485","2023-07-26",7,126,null,"finance"],["S3Gaussian: Self-Supervised Street Gaussians for Autonomous Driving","https://arxiv.org/pdf/2405.20323","2024-06-05",6,124,null,"ml"],["How Do Large Language Models Acquire Factual Knowledge During Pretraining?","https://arxiv.org/abs/2406.11813","2024-06-20",3,124,"Neural Information Processing Systems","ml"],["Improving the Training of Rectified Flows","https://arxiv.org/abs/2405.20320","2024-06-05",6,120,"Neural Information Processing Systems","ml"],["TabR: Tabular Deep Learning Meets Nearest Neighbors","https://arxiv.org/abs/2307.14338","2023-11-02",99,119,"International Conference on Learning Representations","finance"],["Long-LRM: Long-Sequence Large Reconstruction Model for Wide-Coverage Gaussian Splats","https://arxiv.org/pdf/2410.12781","2024-10-17",1,119,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Learning Humanoid Locomotion with Perceptive Internal Model","https://arxiv.org/abs/2411.14386","2024-11-27",6,118,"2025 IEEE International Conference on Robotics and Automation (ICRA)","ml"],["Manufacturing Revolutions: Industrial Policy and Industrialization in South Korea","http://arxiv.org/abs/2505.20566v1","2025-05-30",1410,118,null,"finance"],["MotionLLM: Understanding Human Behaviors from Human Motions and Videos","https://arxiv.org/pdf/2405.20340","2024-06-05",6,117,"IEEE transactions on pattern analysis and machine intelligence","ml"],["Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF","https://arxiv.org/abs/2405.21046","2024-06-05",5,117,null,"ml"],["A Dynamical Model of Neural Scaling Laws","https://rss.arxiv.org/abs/2402.01092","2024-04-17",75,116,"International Conference on Machine Learning","ml"],["OmniGlue: Generalizable Feature Matching with Foundation Model Guidance","https://arxiv.org/abs/2405.12979","2024-05-28",7,115,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Settling the Sample Complexity of Model-Based Offline Reinforcement Learning","https://arxiv.org/abs/2204.05275","2024-03-13",702,114,"Annals of Statistics","ml"],["NV-Retriever: Improving text embedding models with effective hard-negative mining","https://arxiv.org/abs/2407.15831","2024-07-24",2,113,null,"ml"],["The GAN is dead; long live the GAN! A Modern GAN Baseline","https://arxiv.org/abs/2501.05441","2025-01-15",6,113,null,"ml"],["ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area","https://arxiv.org/abs/2408.07246","2024-08-21",7,112,"AAAI Conference on Artificial Intelligence","ml"],["LLM Pruning and Distillation in Practice: The Minitron Approach","https://arxiv.org/abs/2408.11796","2024-08-28",7,112,null,"ml"],["ESG Reputation Risk Matters: An Event Study Based on Social Media Data","https://arxiv.org/abs/2307.11571","2023-07-26",5,111,null,"finance"],["Sentiment trading with large language models","http://dx.doi.org/10.1016/j.frl.2024.105227","2025-01-01",306,111,"Finance Research Letters","finance"],["Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis","https://arxiv.org/abs/2305.07972","2023-05-18",5,110,"Annual Meeting of the Association for Computational Linguistics","finance"],["Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination","https://arxiv.org/abs/2406.08818","2024-09-18",97,110,"Conference on Empirical Methods in Natural Language Processing","ml"],["Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks","http://arxiv.org/abs/2405.01534v1","2024-05-08",6,108,"International Conference on Learning Representations","ml"],["Robust agents learn causal world models","https://arxiv.org/abs/2402.10877","2024-02-21",5,107,"International Conference on Learning Representations","ml"],["Distilling Diffusion Models into Conditional GANs","https://arxiv.org/abs/2405.05967","2024-05-15",6,107,"European Conference on Computer Vision","ml"],["Unveiling Encoder-Free Vision-Language Models","https://arxiv.org/abs/2406.11832","2024-06-20",3,107,"Neural Information Processing Systems","ml"],["Real-Time Anomaly Detection and Reactive Planning with Large Language Models","https://arxiv.org/abs/2407.08735","2024-07-17",6,107,"Robotics: Science and Systems Conference","ml"],["Tensor Programs VI: Feature Learning in Infinite-Depth Neural Networks","https://arxiv.org/abs/2310.02244","2023-10-16",13,106,"International Conference on Learning Representations","ml"],["Fine-tuning can cripple your foundation model; preserving features may be the solution","https://arxiv.org/abs/2308.13320","2024-07-03",313,106,"Trans. 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Learning","https://arxiv.org/abs/2407.20179","2024-07-31",2,82,"Conference on Robot Learning","ml"],["Representing Long Volumetric Video with Temporal Gaussian Hierarchy","http://dx.doi.org/10.1145/3687919","2024-12-18",29,82,"ACM Transactions on Graphics (TOG)","ml"],["DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation","https://arxiv.org/abs/2412.18597","2025-01-01",8,82,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models","https://arxiv.org/abs/2408.00735","2024-08-07",6,81,"SIGGRAPH Asia 2024 Conference Papers","ml"],["Using Large Language Models for Qualitative Analysis can Introduce Serious Bias","https://arxiv.org/abs/2309.17147","2023-10-04",5,80,"Sociological Methods & Research","finance"],["MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware 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Mach. Learn. Res.","ml"],["Customizing Text-to-Image Models with a Single Image Pair","https://arxiv.org/abs/2405.01536","2024-05-08",6,51,"SIGGRAPH Asia 2024 Conference Papers","ml"],["Textured Gaussians for Enhanced 3D Scene Appearance Modeling","https://arxiv.org/abs/2411.18625","2024-12-04",7,51,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Diverse Preference Optimization","https://arxiv.org/abs/2501.18101","2025-02-05",6,51,null,"ml"],["Scalable-Softmax Is Superior for Attention","https://arxiv.org/abs/2501.19399","2025-02-05",5,51,null,"ml"],["Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video","https://arxiv.org/abs/2310.08584","2023-10-16",4,50,"International Conference on Learning Representations","ml"],["Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction","https://arxiv.org/abs/2402.00299","2024-02-07",6,50,"European Journal of Operational Research","finance"],["A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose","http://dx.doi.org/10.1145/3641519.3657427","2024-05-08",2,50,"ACM SIGGRAPH 2024 Conference Papers","ml"],["Deep Learning for Economists","https://arxiv.org/abs/2407.15339","2024-09-18",58,50,null,"finance"],["Decentralised Finance and Automated Market Making: Execution and Speculation","http://dx.doi.org/10.2139/ssrn.4144743","2023-07-12",5,49,null,"finance"],["Optimal Stopping via Randomized Neural Networks","https://arxiv.org/abs/2104.13669","2023-12-06",952,49,"Frontiers of Mathematical Finance","finance"],["Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes","https://arxiv.org/abs/2403.15064","2024-05-08",47,49,"Computer Graphics Forum","ml"],["Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy","http://arxiv.org/abs/2312.12429v1?utm_source=dlvr.it&utm_medium=twitter","2024-10-31",317,49,"Scientific Data","ml"],["\"Give Me BF16 or Give Me Death\"? Accuracy-Performance Trade-Offs in LLM Quantization","https://arxiv.org/abs/2411.02355","2024-11-06",2,49,"Annual Meeting of the Association for Computational Linguistics","ml"],["Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models","https://arxiv.org/abs/2411.07232","2024-11-13",2,49,"International Conference on Learning Representations","ml"],["MagicQuill: An Intelligent Interactive Image Editing System","https://arxiv.org/abs/2411.09703","2024-11-20",6,49,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Length Optimization in Conformal Prediction","https://arxiv.org/abs/2406.18814","2024-12-18",174,49,"Neural Information Processing Systems","ml"],["Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents","https://arxiv.org/abs/2502.02561","2025-04-02",57,49,"International Conference on Machine Learning","ml"],["Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models","https://arxiv.org/abs/2310.13671#","2023-10-25",5,48,"Conference on Empirical Methods in Natural Language Processing","ml"],["BitsFusion: 1.99 bits Weight Quantization of Diffusion Model","https://arxiv.org/abs/2406.04333","2024-06-12",6,48,"Neural Information Processing Systems","ml"],["SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views","https://arxiv.org/pdf/2408.10195","2024-08-21",2,48,"European Conference on Computer Vision","ml"],["The Limits of Inference Scaling Through Resampling","https://arxiv.org/abs/2411.17501","2024-12-04",8,48,null,"ml"],["Sea Change in Software Development: Economic and Productivity Analysis of the AI-Powered Developer Lifecycle","https://arxiv.org/abs/2306.15033","2023-06-28",2,47,null,"finance"],["Decentralised Finance and Automated Market Making: Predictable Loss and Optimal Liquidity Provision","https://arxiv.org/abs/2309.08431","2023-09-21",6,47,null,"finance"],["Scalable MatMul-free Language Modeling","https://arxiv.org/abs/2406.02528","2024-06-20",16,47,null,"ml"],["Beyond Aesthetics: Cultural Competence in Text-to-Image Models","https://arxiv.org/abs/2407.06863","2024-07-17",8,47,"Neural Information Processing Systems","ml"],["ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization","https://arxiv.org/abs/2406.05981","2024-07-31",51,47,"Neural Information Processing Systems","ml"],["AgentStudio: A Toolkit for Building General Virtual Agents","https://arxiv.org/abs/2403.17918","2024-10-09",197,47,"International Conference on Learning Representations","ml"],["Energy Security and Resilience: Reviewing Concepts and Advancing Planning Perspectives for Transforming Integrated Energy Systems","http://arxiv.org/abs/2504.18396v1","2025-04-30",5,47,"Energy Policy","finance"],["ChatGPT-Based Investment Portfolio Selection","https://arxiv.org/abs/2308.06260","2023-08-17",6,46,"Operations Research Forum","finance"],["StructLM: Towards Building Generalist Models for Structured Knowledge Grounding","https://arxiv.org/abs/2402.16671","2024-04-24",58,46,null,"ml"],["Agent Instructs Large Language Models to be General Zero-Shot Reasoners","https://arxiv.org/abs/2310.03710","2024-08-21",321,46,null,"ml"],["Aggregation Model and Market Mechanism for Virtual Power Plant Participation in Inertia and Primary Frequency Response","http://arxiv.org/abs/2503.04854v1","2025-03-12",6,46,"IEEE Transactions on Power Systems","finance"],["Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models","https://arxiv.org/abs/2405.05252","2024-05-15",7,45,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["SF-V: Single Forward Video Generation Model","https://arxiv.org/abs/2406.04324","2024-06-12",6,45,"Neural Information Processing Systems","ml"],["AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors","https://arxiv.org/abs/2406.18394","2024-07-03",7,45,"AAAI Conference on Artificial Intelligence","finance"],["A Single Transformer for Scalable Vision-Language Modeling","https://arxiv.org/abs/2407.06438","2024-11-20",135,45,"Trans. 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Res.","ml"],["Calibrated Multi-Preference Optimization for Aligning Diffusion Models","https://arxiv.org/abs/2502.02588","2025-04-02",57,45,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model","https://arxiv.org/abs/2402.03755","2024-02-07",1,44,null,"finance"],["Dataset Reset Policy Optimization for RLHF","https://arxiv.org/abs/2404.08495","2024-04-17",5,44,null,"ml"],["Learning general Gaussian mixtures with efficient score matching","https://arxiv.org/abs/2404.18893","2024-05-01",2,44,null,"ml"],["Brief analysis of DeepSeek R1 and its implications for Generative AI","https://arxiv.org/abs/2502.02523","2025-04-09",64,44,"Robotics","ml"],["Bubble economics","https://arxiv.org/abs/2311.03638","2023-11-08",1,43,"Journal of Mathematical Economics","finance"],["Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues","https://arxiv.org/abs/2307.11888","2024-03-13",236,43,null,"ml"],["Rethinking Score Distillation as a Bridge Between Image Distributions","https://arxiv.org/abs/2406.09417","2024-06-20",7,43,"Neural Information Processing Systems","ml"],["Assumption-lean and Data-adaptive Post-Prediction Inference","https://arxiv.org/abs/2311.14220","2024-09-18",300,43,"Journal of machine learning research","ml"],["Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free","https://arxiv.org/abs/2410.10814","2024-10-17",3,43,"International Conference on Learning Representations","ml"],["Scaling Laws For Diffusion Transformers","https://arxiv.org/abs/2410.08184","2024-10-17",7,43,null,"ml"],["Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research","http://arxiv.org/abs/2411.04788v1","2024-11-13",6,43,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["Grokking at the Edge of Numerical Stability","https://arxiv.org/abs/2501.04697","2025-01-15",7,43,"International Conference on Learning Representations","ml"],["How does artificial intelligence improve human decision‐making? Evidence from the AI‐powered Go program","https://arxiv.org/abs/2310.08704","2023-10-18",6,42,"Strategic Management Journal","finance"],["NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections","https://arxiv.org/pdf/2405.14871","2024-05-28",5,42,"SIGGRAPH Asia 2024 Conference Papers","ml"],["ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery","https://arxiv.org/abs/2405.04657","2024-07-24",78,42,"Journal of Chemical Information and Modeling","ml"],["Can Large Language Models Understand Symbolic Graphics Programs?","https://arxiv.org/abs/2408.08313","2024-08-21",6,42,"International Conference on Learning Representations","ml"],["Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks","http://arxiv.org/abs/2503.16974v1","2025-03-26",5,42,null,"finance"],["DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines","http://arxiv.org/abs/2312.13382","2024-02-07",49,41,null,"ml"],["Taming Data and Transformers for Audio Generation","https://arxiv.org/abs/2406.19388","2024-07-03",6,41,"International Journal of Computer Vision","ml"],["Is ChatGPT Transforming Academics' Writing Style?","https://arxiv.org/abs/2404.08627","2024-11-13",215,41,null,"ml"],["Material Anything: Generating Materials for Any 3D Object via Diffusion","https://arxiv.org/abs/2411.15138","2024-11-27",5,41,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization","https://arxiv.org/abs/2412.12098","2024-12-18",2,41,"International Conference on Learning Representations","ml"],["The News in Earnings Announcement Disclosures: Capturing Word Context Using LLM Methods","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5198675","2025-04-02",36,41,"Manag. 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Lessons from the human brain","https://arxiv.org/abs/2405.04540","2024-07-31",104,39,"Neural networks : the official journal of the International Neural Network Society","ml"],["SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting","https://arxiv.org/abs/2404.14757","2024-08-28",127,39,"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","ml"],["Maia-2: A Unified Model for Human-AI Alignment in Chess","http://arxiv.org/abs/2409.20553v1","2024-10-03",3,39,"Neural Information Processing Systems","ml"],["The Influence of ChatGPT on Artificial Intelligence Related Crypto Assets: Evidence from a Synthetic Control Analysis","http://dx.doi.org/10.1016/j.frl.2023.103993","2023-05-24",23,38,"Finance Research Letters","finance"],["A predictive machine learning force field framework for liquid electrolyte development","https://arxiv.org/abs/2404.07181","2024-04-24",14,38,null,"ml"],["Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation","https://arxiv.org/abs/2405.05224","2024-05-15",7,38,null,"ml"],["Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs","http://arxiv.org/abs/2401.04854","2024-06-05",147,38,"Transactions of the Association for Computational Linguistics","ml"],["FACTS About Building Retrieval Augmented Generation-based Chatbots","https://arxiv.org/abs/2407.07858","2024-07-17",7,38,null,"ml"],["A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning","https://arxiv.org/abs/2311.00212","2024-08-21",294,38,"Journal of machine learning research","ml"],["StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos","https://arxiv.org/abs/2409.07447","2024-09-18",7,38,null,"ml"],["Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance","https://arxiv.org/abs/2308.14634","2023-08-30",2,37,"FINNLP","finance"],["Idea2Img: Iterative Self-Refinement with GPT-4V(ision) for Automatic Image Design and Generation","https://arxiv.org/pdf/2310.08541.pdf","2024-08-21",314,37,null,"ml"],["LoTLIP: Improving Language-Image Pre-training for Long Text Understanding","https://arxiv.org/abs/2410.05249","2024-10-09",2,37,"Neural Information Processing Systems","ml"],["Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning","https://arxiv.org/pdf/2406.16257v1","2024-10-17",115,37,"International Conference on Learning Representations","ml"],["xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs","https://arxiv.org/abs/2410.16267","2024-10-23",2,37,null,"ml"],["FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading","http://arxiv.org/abs/2502.11433v2","2025-02-19",2,37,"Annual Meeting of the Association for Computational Linguistics","finance"],["Universalizing Weak Supervision","https://arxiv.org/abs/2112.03865","2023-12-06",729,36,"International Conference on Learning Representations","ml"],["DiarizationLM: Speaker Diarization Post-Processing with Large Language Models","https://arxiv.org/abs/2401.03506","2024-01-23",16,36,"Interspeech","ml"],["Innovation Strategy After IPO: How AI Analytics Spurs Innovation After IPO","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803528","2024-04-24",2,36,"Manag. 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An Evaluation of ChatGPT and GPT-4 on mock CFA Exams","https://arxiv.org/abs/2310.08678","2023-10-18",6,33,null,"finance"],["Bagging Provides Assumption-free Stability","https://arxiv.org/abs/2301.12600","2024-05-01",457,33,"J. Mach. Learn. Res.","ml"],["Overload: Latency Attacks on Object Detection for Edge Devices","https://arxiv.org/abs/2304.05370v1","2024-05-01",386,33,"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Scaling Law with Learning Rate Annealing","https://arxiv.org/abs/2408.11029","2024-08-21",1,33,"Neural Information Processing Systems","ml"],["InkubaLM: A small language model for low-resource African languages","https://arxiv.org/abs/2408.17024","2024-09-05",6,33,null,"ml"],["Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment","https://arxiv.org/abs/2404.12318","2024-10-17",182,33,"Conference on Empirical Methods in Natural Language Processing","ml"],["4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization","http://arxiv.org/abs/2411.08879v1","2024-11-20",7,33,"Neural Information Processing Systems","ml"],["Tail Risk Alert Based on Conditional Autoregressive VaR by Regression Quantiles and Machine Learning Algorithms","http://arxiv.org/abs/2412.06193v1","2024-12-12",34,33,"2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","finance"],["Learnings from Scaling Visual Tokenizers for Reconstruction and Generation","https://arxiv.org/abs/2501.09755","2025-01-23",7,33,"International Conference on Machine Learning","ml"],["Autonomy by Design: Preserving Human Autonomy in AI Decision-Support","http://arxiv.org/abs/2506.23952v2","2025-07-03",3,33,"Philosophy & Technology","finance"],["Economic complexity and the sustainability transition: a review of data, methods, and literature","https://arxiv.org/abs/2308.07172","2023-08-17",3,32,"Journal of Physics: Complexity","finance"],["JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading","https://arxiv.org/abs/2308.13289","2023-08-30",5,32,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions","https://arxiv.org/abs/2310.07427","2023-10-12",1,32,"Finance Research Letters","finance"],["How Far Are We From AGI: Are LLMs All We Need?","https://arxiv.org/abs/2405.10313","2024-05-22",6,32,"Trans. 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Language Models Are Capable of Probabilistic Reasoning","https://arxiv.org/abs/2406.12830","2024-06-20",2,32,"Conference on Empirical Methods in Natural Language Processing","ml"],["u-μP: The Unit-Scaled Maximal Update Parametrization","https://arxiv.org/abs/2407.17465","2024-07-31",7,32,null,"ml"],["Block and Detail: Scaffolding Sketch-to-Image Generation","https://arxiv.org/abs/2402.18116","2024-10-31",246,32,"Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology","ml"],["MambaStock: Selective state space model for stock prediction","https://arxiv.org/abs/2402.18959","2024-03-06",6,31,null,"finance"],["The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset","https://arxiv.org/abs/2404.19109","2024-05-01",2,31,null,"finance"],["EgoLM: Multi-Modal Language Model of Egocentric Motions","https://arxiv.org/abs/2409.18127","2024-10-03",7,31,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Pivoting B2B platform business models: From platform experimentation to multi-platform integration to ecosystem envelopment","http://dx.doi.org/10.1016/j.ijpe.2024.109466","2025-01-01",61,31,"International Journal of Production Economics","finance"],["Pseudo-Generalized Dynamic View Synthesis from a Video","https://arxiv.org/pdf/2310.08587.pdf","2023-10-16",4,30,"International Conference on Learning Representations","ml"],["StoryBench: A Multifaceted Benchmark for Continuous Story Visualization","https://arxiv.org/abs/2308.11606","2023-10-16",55,30,"Neural Information Processing Systems","ml"],["GPT in Game Theory Experiments","https://arxiv.org/abs/2305.05516","2023-12-13",218,30,null,"finance"],["Confidence Trigger Detection: Accelerating Real-Time Tracking-by-Detection Systems","https://arxiv.org/abs/1902.00615","2024-05-01",1915,30,"2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)","ml"],["Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4831881","2024-05-22",187,30,"Telematics Informatics","finance"],["Nearest Neighbor Speculative Decoding for LLM Generation and Attribution","https://arxiv.org/abs/2405.19325","2024-06-05",7,30,"Neural Information Processing Systems","ml"],["Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example","https://arxiv.org/pdf/2408.06318v1","2024-08-15",3,30,null,"ml"],["Differentiable Robot Rendering","https://arxiv.org/abs/2410.13851","2024-10-23",6,30,"Conference on Robot Learning","ml"],["Feat2GS: Probing Visual Foundation Models with Gaussian Splatting","https://arxiv.org/abs/2412.09606","2024-12-18",6,30,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Bubble Necessity Theorem","https://arxiv.org/abs/2305.08268","2023-05-18",4,29,"Journal of Political Economy","finance"],["Inflation—Who Cares? Monetary Policy in Times of Low Attention","https://arxiv.org/abs/2105.05297","2023-08-17",828,29,"Journal of Money, Credit and Banking","finance"],["Retail Demand Forecasting: A Comparative Study for Multivariate Time Series","https://arxiv.org/abs/2308.11939","2023-08-24",1,29,"Journal of Mathematics and Statistics Studies","finance"],["Soundify: Matching Sound Effects to Video","https://arxiv.org/abs/2112.09726","2023-10-16",668,29,"Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology","ml"],["Idempotent Generative Network","https://arxiv.org/abs/2311.01462","2023-11-08",6,29,"International Conference on Learning Representations","ml"],["Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data","https://arxiv.org/abs/2311.14759","2023-11-29",6,29,"International Journal of Forecasting","finance"],["Gemini in Reasoning: Unveiling Commonsense in Multimodal Large Language Models","https://arxiv.org/abs/2312.17661","2024-01-03",5,29,null,"ml"],["Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)","https://arxiv.org/abs/2405.06627","2024-05-15",5,29,"International Conference on Machine Learning","ml"],["PuzzleAvatar: Assembling 3D Avatars from Personal Albums","http://arxiv.org/abs/2405.14869v1","2024-05-28",5,29,"ACM Transactions on Graphics (TOG)","ml"],["Radiance Fields for Robotic Teleoperation","https://arxiv.org/abs/2407.20194","2024-07-31",2,29,"2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","ml"],["PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting","https://arxiv.org/abs/2412.12096","2024-12-18",2,29,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Complement or substitute? How AI increases the demand for human skills","http://arxiv.org/abs/2412.19754v1","2025-01-01",5,29,null,"finance"],["LLMs Are In-Context Bandit Reinforcement Learners","https://arxiv.org/abs/2410.05362","2025-02-05",121,29,null,"ml"],["Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics","https://arxiv.org/abs/2502.03449","2025-04-09",63,29,"ACM Transactions on Graphics (TOG)","ml"],["Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations","http://arxiv.org/abs/2504.10789v1","2025-04-16",1,29,null,"finance"],["Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?","http://arxiv.org/abs/2505.07078v1","2025-05-14",3,29,"Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","finance"],["Price Discovery in Cryptocurrency Markets","http://arxiv.org/abs/2506.08718v1","2025-06-11",2233,29,"AEA Papers and Proceedings","finance"],["Working with AI: Measuring the Applicability of Generative AI to Occupations","http://arxiv.org/abs/2507.07935v4","2025-09-13",65,29,null,"finance"],["Deep attentive survival analysis in limit order books: estimating fill probabilities with convolutional-transformers","https://arxiv.org/abs/2306.05479","2023-06-14",6,28,"Quantitative Finance","finance"],["The long-term effects of early-life pollution exposure: Evidence from the London smog.","http://arxiv.org/abs/2202.11785","2023-09-14",568,28,"Journal of health economics","finance"],["GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction","https://arxiv.org/abs/2310.03030","2023-10-16",26,28,null,"ml"],["Moderating effects of gender and family responsibilities on the relations between work–family policies and job performance","http://dx.doi.org/10.1080/09585192.2018.1505762","2024-01-30",1844,28,"The International Journal of Human Resource Management","finance"],["Supervised autoencoder MLP for financial time series forecasting","https://arxiv.org/abs/2404.01866","2024-04-03",1,28,"Journal of Big Data","finance"],["Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes","https://arxiv.org/abs/2404.12379","2024-04-24",6,28,"International Conference on Learning Representations","ml"],["Grappa – a machine learned molecular mechanics force field","https://arxiv.org/abs/2404.00050","2024-08-07",135,28,"Chemical Science","ml"],["Long-Form Answers to Visual Questions from Blind and Low Vision People","https://arxiv.org/abs/2408.06303","2024-08-15",3,28,null,"ml"],["Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective","https://arxiv.org/abs/2402.03496","2024-09-05",213,28,"International Conference on Machine Learning","ml"],["Stock movement prediction with multimodal stable fusion via gated cross-attention mechanism","http://arxiv.org/abs/2406.06594v2","2024-12-04",181,28,"Complex & Intelligent Systems","finance"],["Long-Form Speech Generation with Spoken Language Models","https://arxiv.org/abs/2412.18603","2025-01-01",8,28,"International Conference on Machine Learning","ml"],["R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization","https://arxiv.org/abs/2501.01421","2025-01-08",6,28,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["EdgeRAG: Online-Indexed RAG for Edge Devices","https://arxiv.org/abs/2412.21023","2025-01-08",9,28,null,"ml"],["Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness","https://arxiv.org/abs/2306.12806","2023-06-28",6,27,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Technical Note - An Unexpected Stochastic Dominance: Pareto Distributions, Dependence, and Diversification","https://arxiv.org/abs/2208.08471","2023-10-12",421,27,"Oper. 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Optimizing for Diverse Multi-Task Learning","https://arxiv.org/abs/2410.10801","2024-10-17",3,21,null,"ml"],["Improving Long-Text Alignment for Text-to-Image Diffusion Models","https://arxiv.org/abs/2410.11817","2024-10-17",2,21,"International Conference on Learning Representations","ml"],["ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation","https://arxiv.org/abs/2412.08645","2024-12-18",7,21,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["The Intraday Bitcoin Response to Tether Minting and Burning Events: Asymmetry, Investor Sentiment, And \"Whale Alerts\" On Twitter","http://dx.doi.org/10.1016/j.frl.2022.103096","2025-01-15",959,21,"Finance Research Letters","finance"],["Unity by Diversity: Improved Representation Learning in Multimodal VAEs","https://arxiv.org/abs/2403.05300","2025-01-15",313,21,"Neural Information Processing Systems","ml"],["MarketSenseAI 2.0: Enhancing Stock Analysis Through LLM Agents","http://arxiv.org/abs/2502.00415v1","2025-02-05",4,21,"2025 IEEE International Conference on Data Mining Workshops (ICDMW)","finance"],["Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","https://arxiv.org/abs/2502.02562","2025-04-02",57,21,"International Conference on Machine Learning","ml"],["Target Search Optimization by Threshold Resetting.","http://arxiv.org/abs/2504.13501v1","2025-04-23",5,21,"Physical review letters","finance"],["Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models","http://arxiv.org/abs/2505.19617v1","2025-05-30",4,21,null,"finance"],["Generative AI in Higher Education: Evidence from an Elite College","http://arxiv.org/abs/2508.00717v1","2025-08-07",6,21,null,"finance"],["AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration","http://arxiv.org/abs/2509.25055v2","2025-10-03",4,21,null,"finance"],["Proper Generative AI Prompting for Financial Analysis","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4453664","2023-05-24",4,20,null,"finance"],["Financial sentiment analysis using FinBERT with application in predicting stock movement","https://arxiv.org/abs/2306.02136","2023-06-07",4,20,null,"finance"],["Forecasting financial markets with semantic network analysis in the COVID-19 crisis","http://dx.doi.org/10.1002/for.2936","2023-07-12",1036,20,"Journal of Forecasting","finance"],["Rough PDEs for Local Stochastic Volatility Models","https://arxiv.org/abs/2307.09216","2023-07-19",1,20,"Mathematical Finance","finance"],["Optimal Trading with Signals and Stochastic Price Impact","https://arxiv.org/abs/2101.10053","2023-08-30",947,20,"SIAM J. 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Res.","ml"],["Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model","https://arxiv.org/pdf/2408.00754.pdf","2024-08-07",6,20,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction","https://arxiv.org/pdf/2408.10178","2024-08-21",2,20,"Neural Information Processing Systems","ml"],["A Financial Time Series Denoiser Based on Diffusion Models","https://arxiv.org/abs/2409.02138","2024-09-10",8,20,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem","https://arxiv.org/abs/2404.17563","2024-10-17",174,20,"Neural Information Processing Systems","ml"],["Unbounded: A Generative Infinite Game of Character Life Simulation","https://arxiv.org/abs/2410.18975","2024-10-31",7,20,"International Conference on Learning Representations","ml"],["Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models","https://arxiv.org/abs/2411.08733","2024-11-20",7,20,"Conference on Empirical Methods in Natural Language Processing","ml"],["Strict Universality of the Square-Root Law in Price Impact across Stocks: A Complete Survey of the Tokyo Stock Exchange.","http://arxiv.org/abs/2411.13965v1","2024-11-27",6,20,"Physical review letters","finance"],["BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning","https://arxiv.org/abs/2501.03226","2025-01-08",2,20,null,"ml"],["Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization","http://arxiv.org/abs/2502.00828v1","2025-02-05",3,20,null,"finance"],["Can Generative AI agents behave like humans? Evidence from laboratory market experiments","http://arxiv.org/abs/2505.07457v1","2025-05-14",2,20,null,"finance"],["Epstein‐Zin utility maximization on a random horizon","https://arxiv.org/abs/1903.08782","2023-05-18",1519,19,"Mathematical Finance","finance"],["Post-COVID inflation and the monetary policy dilemma: an agent-based scenario analysis","https://arxiv.org/abs/2306.01284","2023-06-07",5,19,"Journal of Economic Interaction and Coordination","finance"],["Contagion Effects of the Silicon Valley Bank Run","https://arxiv.org/abs/2308.06642","2023-08-17",5,19,null,"finance"],["Robust Risk-Aware Option Hedging","https://arxiv.org/abs/2303.15216","2024-01-03",282,19,"Applied Mathematical Finance","finance"],["Backtest overfitting in the machine learning era: A comparison of out-of-sample testing methods in a synthetic controlled environment","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4686376","2024-01-09",3,19,"Knowl. 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Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts","https://arxiv.org/abs/2408.08274","2024-08-21",6,18,"Neural Information Processing Systems","ml"],["Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators","https://arxiv.org/abs/2402.13984","2024-10-17",239,18,"Trans. Mach. Learn. Res.","ml"],["cedar: Optimized and Unified Machine Learning Input Data Pipelines","http://arxiv.org/abs/2401.08895","2024-10-17",274,18,"Proc. VLDB Endow.","ml"],["Proportional Fairness in Non-Centroid Clustering","https://arxiv.org/abs/2410.23273","2024-10-31",1,18,"Neural Information Processing Systems","ml"],["AmbigNLG: Addressing Task Ambiguity in Instruction for NLG","https://arxiv.org/abs/2402.17717","2024-11-06",253,18,"Conference on Empirical Methods in Natural Language Processing","ml"],["Enabling LLM Knowledge Analysis via Extensive Materialization","http://arxiv.org/abs/2411.04920","2024-11-13",6,18,"Annual Meeting of the Association for Computational Linguistics","ml"],["Can AI help with your personal finances?","http://arxiv.org/abs/2412.19784v1","2025-01-01",5,18,"Applied Economics","finance"],["Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation","https://arxiv.org/abs/2412.16135","2025-01-01",12,18,null,"ml"],["Quantifying A Firm's AI Engagement: Constructing Objective, Data-Driven, AI Stock Indices Using 10-K Filings","http://dx.doi.org/10.1016/j.techfore.2024.123965","2025-01-08",5,18,"Technological forecasting & social change","finance"],["ChatGPT and Deepseek: Can They Predict the Stock Market and Macroeconomy?","http://arxiv.org/abs/2502.10008v1","2025-02-19",5,18,null,"finance"],["Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer","https://arxiv.org/abs/2502.02531","2025-07-25",171,18,"International Conference on Machine Learning","ml"],["Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization","https://arxiv.org/abs/2502.03435","2025-08-12",188,18,"Annual Conference Computational Learning Theory","ml"],["Trading-R1: Financial Trading with LLM Reasoning via Reinforcement Learning","http://arxiv.org/abs/2509.11420v1","2025-09-22",8,18,null,"finance"],["Realised Volatility Forecasting: Machine Learning via Financial Word Embedding","https://arxiv.org/abs/2108.00480v5","2026-01-16",1629,18,null,"finance"],["Towards High-Value Datasets determination for data-driven development: a systematic literature review","https://arxiv.org/abs/2305.10234","2023-05-18",1,17,"International Conference on Electronic Government","finance"],["Risk Budgeting Allocation for Dynamic Risk Measures","https://arxiv.org/abs/2305.11319","2023-05-24",6,17,"Oper. Res.","finance"],["Supervised Dynamic PCA: Linear Dynamic Forecasting with Many Predictors","https://arxiv.org/abs/2307.07689","2023-07-19",4,17,"Journal of the American Statistical Association","finance"],["Learning from DeFi: Would Automated Market Makers Improve Equity Trading?","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4531670","2023-08-09",5,17,null,"finance"],["Solvability of Differential Riccati Equations and Applications to Algorithmic Trading with Signals","https://arxiv.org/abs/2202.07478","2023-08-30",561,17,"Applied Mathematical Finance","finance"],["Corporate Bond Factors: Replication Failures and a New Framework","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4586652","2023-10-04",6,17,null,"finance"],["A systematic review of early warning systems in finance","https://arxiv.org/abs/2310.00490","2023-10-04",4,17,null,"finance"],["Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series","http://dx.doi.org/10.1016/j.ijforecast.2022.01.001","2023-10-25",631,17,"International Journal of Forecasting","finance"],["Model Aggregation for Risk Evaluation and Robust Optimization","https://arxiv.org/abs/2201.06370","2023-11-02",654,17,"Manag. Sci.","finance"],["Operator Deep Smoothing for Implied Volatility","https://arxiv.org/abs/2406.11520","2024-06-20",3,17,"International Conference on Learning Representations","finance"],["Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery","https://arxiv.org/abs/2303.15975v1","2024-07-10",470,17,"International Conference on Pattern Recognition","ml"],["The Self-Organized Criticality Paradigm in Economics&Finance","https://arxiv.org/abs/2407.10284","2024-07-17",3,17,null,"finance"],["RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs","https://arxiv.org/abs/2409.04421","2024-09-10",4,17,"AAAI Conference on Artificial Intelligence","ml"],["Downside risk reduction using regime-switching signals: a statistical jump model approach","https://arxiv.org/abs/2402.05272","2024-09-18",224,17,"Journal of Asset Management","finance"],["Stronger Models are NOT Stronger Teachers for Instruction Tuning","https://arxiv.org/abs/2411.07133","2024-11-13",2,17,null,"ml"],["A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning","https://arxiv.org/abs/2411.04105","2024-11-13",7,17,"Advances in Neural Information Processing Systems 38","ml"],["Decoding China's Industrial Policies","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5078043","2025-01-01",1,17,null,"finance"],["Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity","https://arxiv.org/abs/2501.03203","2025-01-08",2,17,null,"ml"],["GauSTAR: Gaussian Surface Tracking and Reconstruction","https://arxiv.org/abs/2501.10283","2025-01-23",6,17,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["AI Safety Should Prioritize the Future of Work","http://arxiv.org/abs/2504.13959v1","2025-04-23",7,17,"International Conference on Machine Learning","finance"],["Finite-difference solution ansatz approach in least-squares Monte Carlo","https://arxiv.org/abs/2305.09166","2023-05-18",2,16,"The Journal of Computational Finance","finance"],["Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization","https://arxiv.org/abs/2305.19499","2023-06-01",1,16,"IEEE Transactions on Neural Networks and Learning Systems","finance"],["EmTract: Extracting emotions from social media","https://arxiv.org/abs/2112.03868","2023-06-28",568,16,"International Review of Financial Analysis","finance"],["Optimal Damping with Hierarchical Adaptive Quadrature for Efficient Fourier Pricing of Multi-Asset Options in Lévy Models","https://arxiv.org/abs/2203.08196","2023-10-12",576,16,"Journal of Computational Finance","finance"],["Neural Networks for Insurance Pricing with Frequency and Severity Data: A Benchmark Study from Data Preprocessing to Technical Tariff","https://arxiv.org/abs/2310.12671","2023-10-25",6,16,"North American Actuarial Journal","finance"],["Law-invariant return and star-shaped risk measures","https://arxiv.org/abs/2310.19552","2023-11-02",3,16,"Insurance: Mathematics and Economics","finance"],["Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments","http://arxiv.org/abs/2312.13896","2024-01-03",13,16,null,"finance"],["Deep Signature Algorithm for Multidimensional Path-Dependent Options","https://arxiv.org/abs/2211.11691","2024-01-17",422,16,"SIAM J. Financial Math.","finance"],["Anticipatory Gains and Event-Driven Losses in Blockchain-Based Fan Tokens: Evidence from the FIFA World Cup","http://dx.doi.org/10.1016/j.ribaf.2024.102333","2024-03-27",26,16,"Research in International Business and Finance","finance"],["Gas fees on the Ethereum blockchain: from foundations to derivative valuations","https://arxiv.org/abs/2406.06524","2024-06-12",2,16,"Frontiers Blockchain","finance"],["Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent","https://arxiv.org/abs/2407.14486","2024-07-24",5,16,"PLOS ONE","finance"],["Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment","https://arxiv.org/abs/2402.13956","2024-07-24",154,16,"Annual Meeting of the Association for Computational Linguistics","ml"],["Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation","https://arxiv.org/abs/2408.04619","2024-08-15",7,16,"Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems","ml"],["Infinite-mean models in risk management: Discussions and recent advances","https://arxiv.org/abs/2408.08678","2024-08-21",5,16,"Risk Sciences","finance"],["Amortized Bayesian Multilevel Models","https://arxiv.org/abs/2408.13230","2024-08-28",5,16,"Bayesian Analysis","ml"],["Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach","https://arxiv.org/abs/2408.17404","2024-09-05",6,16,"2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)","ml"],["A Hybrid Quantum-classical Fusion Neural Network to Improve Protein-ligand Binding Affinity Predictions for Drug Discovery","https://arxiv.org/abs/2309.03919","2024-09-05",365,16,"2024 IEEE International Conference on Quantum Computing and Engineering (QCE)","ml"],["Does the use of unusual combinations of datasets contribute to greater scientific impact?","https://arxiv.org/abs/2402.05024","2024-10-03",239,16,"Proceedings of the National Academy of Sciences of the United States of America","finance"],["4‐LEGS: 4D Language Embedded Gaussian Splatting","https://arxiv.org/abs/2410.10719","2024-10-17",3,16,"Computer Graphics Forum","ml"],["First order Martingale model risk and semi-static hedging","http://arxiv.org/abs/2410.06906v1","2024-10-23",14,16,null,"finance"],["On Domain-Adaptive Post-Training for Multimodal Large Language Models","https://arxiv.org/abs/2411.19930","2024-12-04",5,16,"Conference on Empirical Methods in Natural Language Processing","ml"],["Neural Networks for Insurance Pricing with Frequency and Severity Data: A Benchmark Study from Data Preprocessing to Technical Tariff","http://dx.doi.org/10.1080/10920277.2025.2451860","2025-01-23",462,16,"North American Actuarial Journal","finance"],["General Social Agents","http://arxiv.org/abs/2508.17407v1","2025-08-29",5,16,null,"finance"],["The Cost of Misspecifying Price Impact","https://arxiv.org/abs/2306.00599","2023-06-07",6,15,null,"finance"],["Physical energy cost serves as the “invisible hand” governing economic valuation: Direct evidence from biogeochemical data and the U.S. metal market","https://arxiv.org/abs/2306.02328","2023-06-07",5409,15,"Ecological Economics","finance"],["Closed‐loop Nash competition for liquidity","https://arxiv.org/abs/2112.02961","2023-06-28",569,15,"Mathematical Finance","finance"],["Blockchain Scaling and Liquidity Concentration on Decentralized Exchanges","https://arxiv.org/abs/2306.17742?utm_source=dlvr.it&utm_medium=twitter","2023-07-05",5,15,null,"finance"],["Company Similarity Using Large Language Models","https://arxiv.org/abs/2308.08031","2023-08-17",2,15,"2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr)","finance"],["Characteristics of price related fluctuations in Non-Fungible Token (NFT) market","https://arxiv.org/abs/2310.19747?utm_source=dlvr.it&utm_medium=twitter","2023-11-02",3,15,"Chaos","finance"],["Explainable representation learning of small quantum states","https://arxiv.org/abs/2306.05694","2023-11-08",152,15,"Machine Learning: Science and Technology","ml"],["On Optimal Tracking Portfolio in Incomplete Markets: The Reinforcement Learning Approach","https://arxiv.org/abs/2311.14318","2023-11-29",5,15,"SIAM J. Control. Optim.","finance"],["The Paradox Of Just-in-Time Liquidity in Decentralized Exchanges: More Providers Can Sometimes Mean Less Liquidity","https://arxiv.org/abs/2311.18164","2023-12-06",6,15,null,"finance"],["AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform","https://arxiv.org/abs/2312.04180","2023-12-13",6,15,null,"finance"],["Reinforcement Learning for Combining Search Methods in the Calibration of Economic ABMs","https://arxiv.org/abs/2302.11835","2023-12-13",293,15,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Investigating Assumptions and Proposals for Blockchain Integration in the Circular Economy. A Delphi Study","http://arxiv.org/abs/2312.13774?utm_source=dlvr.it&utm_medium=twitter","2024-01-03",13,15,"Journal of Cleaner Production","finance"],["SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks","http://arxiv.org/abs/2312.17216","2024-01-03",6,15,"Neural Information Processing Systems","ml"],["Generating synthetic data for neural operators","https://arxiv.org/abs/2401.02398","2024-01-09",5,15,"SMAI Journal of Computational Mathematics","ml"],["Controlling Moments with Kernel Stein Discrepancies","https://arxiv.org/abs/2211.05408","2024-01-09",425,15,"The Annals of Applied Probability","ml"],["Sparse spanning portfolios and under-diversification with second-order stochastic dominance","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4713517","2024-02-07",6,15,null,"finance"],["Competition and Collaboration in Crowdsourcing Communities: What happens when peers evaluate each other?","http://dx.doi.org/10.1287/orsc.2021.15163","2024-04-24",2,15,"Organization science (Providence, R.I.)","finance"],["Trends, Applications, and Challenges in Human Attention Modelling","https://arxiv.org/abs/2402.18673","2024-04-24",56,15,"International Joint Conference on Artificial Intelligence","ml"],["Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks","https://arxiv.org/abs/2405.02225","2024-05-08",5,15,"International Conference on Machine Learning","ml"],["Score-based generative models are provably robust: an uncertainty quantification perspective","http://arxiv.org/abs/2405.15754v1?utm_source=dlvr.it&utm_medium=twitter","2024-05-28",4,15,"Neural Information Processing Systems","ml"],["ParSEL: Parameterized Shape Editing with Language","https://arxiv.org/abs/2405.20319","2024-06-05",6,15,"ACM Transactions on Graphics (TOG)","ml"],["HyperFields: Towards Zero-Shot Generation of NeRFs from Text","https://arxiv.org/abs/2310.17075","2024-06-20",238,15,"International Conference on Machine Learning","ml"],["The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models","https://arxiv.org/abs/2406.19358","2024-07-03",6,15,"Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","ml"],["The Geographic Flow of Bank Funding and Access to Credit: Branch Networks, Local Synergies, and Competition","https://arxiv.org/abs/2407.03517","2024-07-10",1882,15,"Research Papers in Economics","finance"],["Lie Group Decompositions for Equivariant Neural Networks","https://arxiv.org/abs/2310.11366","2024-07-17",274,15,"International Conference on Learning Representations","ml"],["Prompt Adaptation as a Dynamic Complement in Generative AI Systems","https://arxiv.org/abs/2407.14333","2024-07-24",5,15,null,"finance"],["Sparse spanning portfolios and under-diversification with second-order stochastic dominance","https://arxiv.org/abs/2402.01951","2024-09-05",216,15,null,"finance"],["A Copula-Guided In-Model Interpretable Neural Network for Change Detection in Heterogeneous Remote Sensing Images","https://arxiv.org/abs/2303.17448v1","2024-09-25",545,15,"IEEE Transactions on Geoscience and Remote Sensing","ml"],["GS-VTON: Controllable 3D Virtual Try-on with Gaussian Splatting","http://arxiv.org/abs/2410.05259","2024-10-09",2,15,"International Journal of Computer Vision","ml"],["MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions","https://arxiv.org/abs/2410.02743","2024-10-09",6,15,"International Conference on Learning Representations","ml"],["SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing","https://arxiv.org/abs/2404.05717","2024-10-09",184,15,"European Conference on Computer Vision","ml"],["Towards Foundation Models for 3D Vision: How Close are We?","https://arxiv.org/pdf/2410.10799","2024-10-17",3,15,"2025 International Conference on 3D Vision (3DV)","ml"],["DisC-GS: Discontinuity-aware Gaussian Splatting","https://arxiv.org/abs/2405.15196","2024-10-31",160,15,"Neural Information Processing Systems","ml"],["Optimization without Retraction on the Random Generalized Stiefel Manifold","https://arxiv.org/abs/2405.01702","2024-11-13",195,15,"International Conference on Machine Learning","ml"],["Exploring Discrete Flow Matching for 3D De Novo Molecule Generation","https://arxiv.org/abs/2411.16644","2024-11-27",2,15,null,"ml"],["REDUCIO! Generating 1K Video Within 16 Seconds Using Extremely Compressed Motion Latents","https://arxiv.org/abs/2411.13552","2024-11-27",7,15,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Spectral Image Tokenizer","https://arxiv.org/abs/2412.09607","2024-12-18",6,15,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["Constrained Sampling with Primal-Dual Langevin Monte Carlo","https://arxiv.org/abs/2411.00568","2025-01-08",68,15,"Neural Information Processing Systems","ml"],["A Multi-LLM-Agent-Based Framework for Economic and Public Policy Analysis","http://arxiv.org/abs/2502.16879v1","2025-02-26",2,15,null,"finance"],["DEEP LEARNING FOR FINANCIAL STRESS TESTING: A DATA-DRIVEN APPROACH TO RISK MANAGEMENT","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5146509","2025-03-05",12,15,null,"finance"],["GATE: An Integrated Assessment Model for AI Automation","http://arxiv.org/abs/2503.04941v1","2025-03-12",6,15,null,"finance"],["Loss-Versus-Rebalancing under Deterministic and Generalized block-times","http://arxiv.org/abs/2505.05113v2","2025-05-14",6,15,null,"finance"],["The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?","http://arxiv.org/abs/2506.04384v2","2025-06-11",7,15,null,"finance"],["Federal Reserve Communication and the COVID-19 Pandemic","http://dx.doi.org/10.1111/manc.12520","2025-08-12",118,15,"Manchester School","finance"],["The Adoption and Usage of AI Agents: Early Evidence from Perplexity","https://arxiv.org/abs/2512.07828v2","2025-12-14",6,15,null,"finance"],["Decomposing cryptocurrency high-frequency price dynamics into recurring and noisy components.","https://arxiv.org/abs/2306.17095?utm_source=dlvr.it&utm_medium=twitter","2023-07-05",6,14,"Chaos","finance"],["Computation of Systemic Risk Measures: A Mixed-Integer Programming Approach","https://arxiv.org/abs/1903.08367","2023-08-02",1596,14,"Oper. Res.","finance"],["Variational Inference for SDEs Driven by Fractional Noise","https://arxiv.org/abs/2310.12975","2023-10-25",6,14,"International Conference on Learning Representations","ml"],["Deeper Hedging: A New Agent-based Model for Effective Deep Hedging","http://dx.doi.org/10.1145/3604237.3626913","2023-11-02",5,14,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Trading with Concave Price Impact and Impact Decay - Theory and Evidence","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4625040","2023-11-08",2,14,"Oper. Res.","finance"],["Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain","https://arxiv.org/abs/2311.12491?utm_source=dlvr.it&utm_medium=twitter","2023-11-29",8,14,null,"finance"],["Standard form of master equations for general non-Markovian jump processes: The Laplace-space embedding framework and asymptotic solution","https://arxiv.org/abs/2312.05475","2023-12-13",4,14,"Physical Review Research","finance"],["Detecting toxic flow","https://arxiv.org/abs/2312.05827","2023-12-13",3,14,"Quantitative Finance","finance"],["Revisiting inference after prediction","https://arxiv.org/abs/2306.13746","2024-01-03",194,14,"J. Mach. Learn. Res.","ml"],["\"Guinea Pig Trials\" Utilizing GPT: A Novel Smart Agent-Based Modeling Approach for Studying Firm Competition and Collusion","https://arxiv.org/abs/2308.10974","2024-02-07",170,14,null,"finance"],["Reinforcement Learning for Optimal Execution When Liquidity Is Time-Varying","https://arxiv.org/abs/2402.12049","2024-02-21",2,14,"Applied Mathematical Finance","finance"],["Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models","https://arxiv.org/pdf/2310.05861.pdf","2024-04-03",177,14,"International Conference on Learning Representations","ml"],["Performance Is Not Enough: The Story Told by a Rashomon Quartet","https://arxiv.org/abs/2302.13356","2024-04-17",416,14,"Journal of Computational and Graphical Statistics","ml"],["Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs","https://arxiv.org/abs/2404.17120","2024-05-01",5,14,null,"ml"],["Federated Combinatorial Multi-Agent Multi-Armed Bandits","https://arxiv.org/abs/2405.05950","2024-05-15",6,14,"International Conference on Machine Learning","ml"],["Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice","https://arxiv.org/abs/2405.19313","2024-06-05",7,14,"International Conference on Learning Representations","finance"],["Unified approach for hedging impermanent loss of liquidity provision","https://arxiv.org/abs/2407.05146","2024-07-10",4,14,"Digital Finance","finance"],["Vision-Language Models under Cultural and Inclusive Considerations","https://arxiv.org/pdf/2407.06177","2024-07-10",2,14,"HUCLLM","ml"],["Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models with Adaptive Expert Placement","https://arxiv.org/abs/2407.04656","2024-07-10",5,14,null,"ml"],["dMel: Speech Tokenization made Simple","https://arxiv.org/abs/2407.15835","2024-07-24",2,14,null,"ml"],["HERMES: Temporal-Coherent Long-form Understanding with Episodes and Semantics","https://arxiv.org/abs/2408.17443","2024-09-05",6,14,"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","ml"],["A Survey on Responsible Generative AI: What to Generate and What Not","https://arxiv.org/abs/2404.05783v1","2024-09-05",150,14,null,"ml"],["Impacts of electric carsharing on a power sector with variable renewables","https://arxiv.org/abs/2402.19380","2024-10-09",223,14,"Cell Reports Sustainability","finance"],["LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation","https://arxiv.org/abs/2410.13846","2024-10-23",6,14,"Trans. 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Res.","ml"],["Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation","https://arxiv.org/abs/2502.02464","2025-04-09",64,13,"Annual Meeting of the Association for Computational Linguistics","ml"],["FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance","http://arxiv.org/abs/2506.01423v1","2025-06-04",2,13,null,"finance"],["Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets","http://arxiv.org/abs/2508.03474v1","2025-08-07",2,13,"Conference on Advances in Financial Technologies","finance"],["A systematic literature review on solution approaches for the index tracking problem in the last decade","http://dx.doi.org/10.1093/imaman/dpad007","2023-06-07",51,12,"IMA Journal of Management Mathematics","finance"],["Transaction Fraud Detection via Spatial-Temporal-Aware Graph Transformer","https://arxiv.org/abs/2307.05121","2023-07-12",1,12,null,"finance"],["Expert Aggregation for Financial Forecasting","https://arxiv.org/abs/2111.15365","2023-07-12",594,12,"Journal of Finance and Data Science","finance"],["Multimodal Document Analytics for Banking Process Automation","https://arxiv.org/abs/2307.11845","2023-07-26",5,12,"Information Fusion","finance"],["Bitcoin Gold, Litecoin Silver: An Introduction to Cryptocurrency's Valuation and Trading Strategy","https://arxiv.org/abs/2308.00013?utm_source=dlvr.it&utm_medium=twitter","2023-08-02",3,12,"FICC","finance"],["Path shadowing Monte Carlo","https://arxiv.org/abs/2308.01486","2023-08-09",6,12,"Quantitative Finance","finance"],["Liquidity Math in Uniswap v3","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4575232","2023-09-21",721,12,null,"finance"],["End-to-End, Decision-based, Cardinality-Constrained Portfolio Optimization","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4598167","2023-10-12",417,12,null,"finance"],["Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks","https://arxiv.org/abs/2310.07711","2023-10-16",5,12,null,"ml"],["Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques","https://arxiv.org/abs/2402.11231?utm_source=dlvr.it&utm_medium=twitter","2024-02-21",4,12,null,"finance"],["Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty","https://arxiv.org/abs/2404.12598","2024-04-24",5,12,null,"finance"],["Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms","https://arxiv.org/abs/2407.08723","2024-07-17",6,12,"Neural Information Processing Systems","ml"],["Market Making with Exogenous Competition","https://arxiv.org/abs/2407.17393","2024-07-31",7,12,"SIAM J. 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Res.","finance"],["Large Language Models for Mathematicians","https://arxiv.org/abs/2312.04556","2023-12-13",6,11,null,"ml"],["Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review","http://arxiv.org/abs/2401.10370","2024-01-23",5,11,null,"finance"],["Riemannian Laplace Approximation with the Fisher Metric","https://arxiv.org/abs/2311.02766","2024-04-03",150,11,"International Conference on Artificial Intelligence and Statistics","ml"],["LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues","https://arxiv.org/abs/2403.00462","2024-05-08",68,11,"North American Chapter of the Association for Computational Linguistics","ml"],["Complex network analysis of cryptocurrency market during crashes","https://arxiv.org/abs/2405.05642","2024-05-15",6,11,"Physica A: Statistical Mechanics and its Applications","finance"],["Artificial intelligence, natural language processing, and machine learning to enhance e-service quality on e-commerce platforms","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4847952","2024-06-05",6,11,null,"finance"],["Competitive balance in the UEFA Champions League group stage: Novel measures show no evidence of decline","https://arxiv.org/abs/2406.19222","2024-07-03",6,11,"Annals of Operations Research","finance"],["GraphCNNpred: A stock market indices prediction using a Graph based deep learning system","https://arxiv.org/abs/2407.03760","2024-07-10",6,11,"Proceedings of the 2024 2nd International Conference on Artificial Intelligence, Systems and Network Security","finance"],["Embracing Massive Medical Data","https://arxiv.org/abs/2407.04687","2024-07-10",5,11,"International Conference on Medical Image Computing and Computer-Assisted Intervention","ml"],["KIF: Knowledge Identification and Fusion for Language Model Continual Learning","http://arxiv.org/abs/2408.05200v1","2024-08-15",6,11,null,"ml"],["Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator","https://arxiv.org/abs/2407.06099","2024-09-10",64,11,"AIAA AVIATION FORUM AND ASCEND 2024","ml"],["Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Translation","https://arxiv.org/abs/2409.02391","2024-09-10",6,11,null,"finance"],["Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning","https://arxiv.org/abs/2409.08980","2024-09-18",5,11,"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems","ml"],["What is the Role of Large Language Models in the Evolution of Astronomy Research?","https://arxiv.org/abs/2409.20252","2024-10-03",3,11,null,"ml"],["Accelerating Training with Neuron Interaction and Nowcasting Networks","https://arxiv.org/abs/2409.04434","2024-10-09",33,11,null,"ml"],["Enhancing supply chain security with automated machine learning","http://arxiv.org/abs/2406.13166v2","2024-12-04",168,11,"Asian J of Management Science and Applications","finance"],["Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Mean-Variance Efficient Sampling","http://dx.doi.org/10.1145/3677052.3698662","2024-12-04",252,11,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states","https://arxiv.org/abs/2411.19876","2024-12-04",5,11,"European Symposium on Research in Computer Security","ml"],["LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation","https://arxiv.org/abs/2411.04997v1","2024-12-04",27,11,"AAAI Conference on Artificial Intelligence","ml"],["Symbolic approximations to Ricci-flat metrics via extrinsic symmetries of Calabi–Yau hypersurfaces","https://arxiv.org/abs/2412.19778","2025-01-01",5,11,"Machine Learning: Science and Technology","ml"],["Applying AHP and Fuzzy AHP Management Methods to Assess the Level of Financial and Digital Inclusion","http://dx.doi.org/10.24818/18423264/55.4.21.11","2025-01-23",1129,11,"ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH","finance"],["Forecasting S&P 500 Using LSTM Models","http://dx.doi.org/10.5281/zenodo.14759118","2025-02-05",7,11,null,"finance"],["Assessing Price Elasticity in US Residential Electricity Consumption: A Comparison of Monthly and Annual Data with Recession Implications","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5141364","2025-02-26",6,11,null,"finance"],["Mean-field theory for heterogeneous random growth with redistribution.","http://arxiv.org/abs/2503.23189v1","2025-04-02",4,11,"Physical review. 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A comparative study","http://dx.doi.org/10.1016/j.physa.2021.126143","2023-08-24",678,10,"Physica A-statistical Mechanics and Its Applications","finance"],["Dynamics of market states and risk assessment","https://arxiv.org/abs/2011.05984","2023-09-14",1038,10,"Physica A: Statistical Mechanics and its Applications","finance"],["Startup success prediction and VC portfolio simulation using CrunchBase data","https://arxiv.org/abs/2309.15552","2023-09-28",1,10,null,"finance"],["A Mean-Field Control Problem of Optimal Portfolio Liquidation with Semimartingale Strategies","https://arxiv.org/abs/2207.00446","2023-09-28",454,10,"Math. Oper. 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Res.","ml"],["How Do Machine Learning Models Change?","https://arxiv.org/abs/2411.09645","2024-11-20",6,9,"ACM Transactions on Software Engineering and Methodology","ml"],["Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements","http://arxiv.org/abs/2412.07042v1","2024-12-12",3,9,null,"finance"],["Chemist-aligned retrosynthesis by ensembling diverse inductive bias models.","https://arxiv.org/abs/2412.05269","2024-12-12",6,9,"Nature","ml"],["Right on Time: Revising Time Series Models by Constraining their Explanations","https://arxiv.org/abs/2402.12921","2024-12-12",296,9,"ECML/PKDD","ml"],["Physics of Skill Learning","https://arxiv.org/pdf/2501.12391","2025-01-23",2,9,null,"ml"],["GPS as a Control Signal for Image Generation","https://arxiv.org/abs/2501.12390","2025-01-23",2,9,"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","ml"],["Particle trajectory representation learning with masked point modeling","https://arxiv.org/abs/2502.02558","2025-04-02",57,9,"Machine Learning: Science and Technology","ml"],["Deep Hedging with Options Using the Implied Volatility Surface","http://arxiv.org/abs/2504.06208v1","2025-04-09",1,9,null,"finance"],["High-frequency intraday trading for battery storages","http://arxiv.org/abs/2504.06932v1","2025-04-16",7,9,"Applied Energy","finance"],["LLM-Enhanced Black-Litterman Portfolio Optimization","http://arxiv.org/abs/2504.14345v1","2025-04-23",4,9,null,"finance"],["The heterogeneous causal effects of the EU's Cohesion Fund","http://arxiv.org/abs/2504.13223v1","2025-04-23",6,9,null,"finance"],["Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits","https://arxiv.org/abs/2502.03454","2025-04-30",84,9,"2025 IEEE International Conference on Robotics and Automation (ICRA)","ml"],["Who Gets the Callback? Generative AI and Gender Bias","http://arxiv.org/abs/2504.21400v1","2025-05-07",7,9,null,"finance"],["Fair Document Valuation in LLM Summaries via Shapley Values","http://arxiv.org/abs/2505.23842v1","2025-06-04",7,9,null,"finance"],["EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements","http://arxiv.org/abs/2506.08762v1","2025-06-11",1,9,null,"finance"],["My Advisor, Her AI and Me: Evidence from a Field Experiment on Human-AI Collaboration and Investment Decisions","http://arxiv.org/abs/2506.03707v1","2025-06-11",7,9,null,"finance"],["ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism","http://arxiv.org/abs/2508.00554v1","2025-08-07",6,9,null,"finance"],["AI and jobs. A review of theory, estimates, and evidence","http://arxiv.org/abs/2509.15265v1","2025-09-22",4,9,null,"finance"],["Signature approach for pricing and hedging path-dependent options with frictions","https://arxiv.org/abs/2511.23295v1","2025-12-01",3,9,null,"finance"],["Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling","https://arxiv.org/abs/2107.11972","2023-05-18",661,8,"International Joint Conference on Artificial Intelligence","finance"],["ChatGPT and Generative AI: The New Barbarians at the Gate","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4447526","2023-05-18",5,8,null,"finance"],["Weighing Anchor on Credit Card Debt","https://arxiv.org/abs/2305.11375","2023-05-24",5,8,null,"finance"],["When is cross impact relevant?","https://arxiv.org/abs/2305.16915","2023-06-01",6,8,"Quantitative Finance","finance"],["Large Banks and Systemic Risk: Insights from a Mean-Field Game Model","https://arxiv.org/abs/2305.17830","2023-06-01",4,8,"Journal of Systems Science and Complexity","finance"],["Parameter Estimation Methods of Required Rate of Return on Stock","https://arxiv.org/abs/2305.19708","2023-06-01",346,8,"International Journal of Theoretical and Applied Finance","finance"],["HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE","https://arxiv.org/abs/2306.02848","2023-06-07",2,8,"International Joint Conference on Artificial Intelligence","finance"],["Some challenges of calibrating differentiable agent-based models","https://arxiv.org/abs/2307.01085","2023-07-05",2,8,null,"finance"],["0DTE Option Pricing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4503344","2023-07-12",5,8,null,"finance"],["A View from Outside: Sovereign CDS Volatility as an Indicator of Economic Uncertainty","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4515924","2023-07-26",6,8,null,"finance"],["VolTS: A Volatility-based Trading System to forecast Stock Markets Trend using Statistics and Machine Learning","https://arxiv.org/abs/2307.13422","2023-07-26",1,8,null,"finance"],["A common shock model for multidimensional electricity intraday price modelling with application to battery valuation","https://arxiv.org/abs/2307.16619","2023-08-02",2,8,"Quantitative Finance","finance"],["Causal Inference for Banking Finance and Insurance A Survey","https://arxiv.org/abs/2307.16427","2023-08-02",2,8,null,"finance"],["DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data","https://arxiv.org/abs/2308.03704","2023-08-09",2,8,"FINNLP","finance"],["TimeTrail: Unveiling Financial Fraud Patterns through Temporal Correlation Analysis","https://arxiv.org/abs/2308.14215","2023-08-30",3,8,null,"finance"],["Assessing the solvency of virtual asset service providers: are current standards sufficient?","https://arxiv.org/abs/2309.16408","2023-10-04",6,8,"Applied Economics","finance"],["Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting","https://arxiv.org/abs/2310.01063","2023-10-04",2,8,"Integrated Spatial Databases","finance"],["Stressing Dynamic Loss Models","https://arxiv.org/abs/2211.03221","2023-10-04",332,8,null,"finance"],["Topological Portfolio Selection and Optimization","https://arxiv.org/abs/2310.14881","2023-10-25",2,8,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis","https://arxiv.org/abs/2310.13669","2023-10-25",5,8,"Conference on Empirical Methods in Natural Language Processing","ml"],["Tailoring Mixup to Data for Calibration","https://arxiv.org/abs/2311.01434","2023-11-08",6,8,"International Conference on Learning Representations","ml"],["A Coefficient Makes SVRG Effective","https://arxiv.org/abs/2311.05589","2023-11-15",6,8,"International Conference on Learning Representations","ml"],["Generative Machine Learning for Multivariate Equity Returns","http://dx.doi.org/10.1145/3604237.3626884","2023-11-29",8,8,"Proceedings of the Fourth ACM International Conference on AI in Finance","finance"],["Trusting a Smart Contract Means Trusting its Owners: Understanding Centralization Risk","http://dx.doi.org/10.1109/brains59668.2023.10316813","2023-12-13",63,8,"2023 5th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)","finance"],["Fitting random cash management models to data","http://dx.doi.org/10.1016/j.cor.2018.04.007","2024-01-17",2107,8,"Comput. 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Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models","https://arxiv.org/abs/2409.15988","2024-09-25",1,8,null,"finance"],["Bundle Adjustment in the Eager Mode","https://arxiv.org/pdf/2409.12190","2024-09-25",7,8,"IEEE Transactions on Robotics","ml"],["Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping","https://arxiv.org/pdf/2409.12051","2024-09-25",7,8,"2025 IEEE International Conference on Robotics and Automation (ICRA)","ml"],["Unconditional stability of a recurrent neural circuit implementing divisive normalization","https://arxiv.org/abs/2409.18946","2024-10-03",6,8,"Neural Information Processing Systems","ml"],["On the Benefits of Active Data Collection in Operator Learning","https://arxiv.org/abs/2410.19725","2024-10-31",6,8,null,"ml"],["Time-Series Foundation AI Model for Value-at-Risk Forecasting","http://arxiv.org/abs/2410.11773v2","2024-10-31",16,8,null,"finance"],["Portfolio credit risk with 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A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers","http://arxiv.org/abs/2502.00070v1","2025-02-05",5,8,null,"finance"],["AI Governance through Markets","http://arxiv.org/abs/2501.17755v1","2025-02-05",7,8,null,"finance"],["Package Bids in Combinatorial Electricity Auctions: Selection, Welfare Losses, and Alternatives","http://arxiv.org/abs/2502.09420v2","2025-02-19",6,8,"Oper. 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An empirical investigation","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5270535","2025-05-30",3,7,null,"finance"],["Advancing AI Capabilities and Evolving Labor Outcomes","http://arxiv.org/abs/2507.08244v1","2025-07-17",7,7,null,"finance"],["Generative Neural Operators of Log-Complexity Can Simultaneously Solve Infinitely Many Convex Programs","http://arxiv.org/abs/2508.14995v1","2025-08-29",9,7,null,"finance"],["Encouraging offensive play: A hidden benefit of incomplete round-robin tournaments","http://arxiv.org/abs/2509.13141v1","2025-09-22",6,7,null,"finance"],["The Cross-Section of Factor Returns","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4441376","2025-12-19",942,7,null,"finance"],["Building resilient organizations: The roles of top-down vs. bottom-up organizing","https://arxiv.org/abs/2305.07352","2023-05-18",6,6,null,"finance"],["Measuring Consistency in Text-based Financial Forecasting Models","https://arxiv.org/abs/2305.08524","2023-05-18",3,6,"Annual Meeting of the Association for Computational Linguistics","finance"],["Value-at-Risk-Based Portfolio Insurance: Performance Evaluation and Benchmarking Against CPPI in a Markov-Modulated Regime-Switching Market","https://arxiv.org/abs/2305.12539","2023-05-24",3,6,null,"finance"],["Reinforcement Learning Policy Recommendation for Interbank Network Stability","https://arxiv.org/abs/2204.07134","2023-05-24",405,6,"Journal of Financial Stability","finance"],["The Interpretability of LSTM Models for Predicting Oil Company Stocks: Impact of Correlated Features","https://arxiv.org/abs/2201.00350","2023-06-01",515,6,"International Journal of Energy Research","finance"],["Optimal execution and speculation with trade signals","https://arxiv.org/abs/2306.00621","2023-06-07",6,6,"Finance and Stochastics","finance"],["Maximally Machine-Learnable Portfolios","https://arxiv.org/abs/2306.05568","2023-06-14",6,6,null,"finance"],["Revealing production networks from firm growth dynamics","https://arxiv.org/abs/2302.09906","2023-07-05",135,6,null,"finance"],["Retail Investors’ Behavior in the Digital Age: How Digitalization is Impacting Investment Decisions","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4506007","2023-07-12",2,6,null,"finance"],["Are There Dragon Kings in the Stock Market?","https://arxiv.org/abs/2307.03693","2023-07-12",5,6,"Foundations","finance"],["Machine learning for option pricing: an empirical investigation of network architectures","https://arxiv.org/abs/2307.07657","2023-07-19",5,6,"European Journal of Finance","finance"],["Datalism and Data Monopolies in the Era of A.I.: A Research Agenda","https://arxiv.org/abs/2307.08049","2023-07-19",3,6,null,"finance"],["Augmented HAR","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4516177","2023-07-26",36,6,null,"finance"],["An adaptive dual-level reinforcement learning approach for optimal trade execution","https://arxiv.org/abs/2307.10649","2023-07-26",6,6,"Expert Syst. 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Financial Math.","finance"],["Extremal cases of distortion risk measures with partial information","https://arxiv.org/abs/2404.13637","2024-04-24",3,6,"Statistical Methods & Applications","finance"],["Recommender Systems in Financial Trading: Using machine-based conviction analysis in an explainable AI investment framework","https://arxiv.org/abs/2404.11080","2024-04-24",7,6,null,"finance"],["A Dynamic Regime-Switching Model Using Gated Recurrent Straight-Through Units","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4810879","2024-05-01",2,6,null,"finance"],["Merchants of Vulnerabilities: How Bug Bounty Programs Benefit Software Vendors","https://arxiv.org/abs/2404.17497","2024-05-01",5,6,null,"finance"],["Microstructure Modes -- Disentangling the Joint Dynamics of Prices & Order Flow","https://arxiv.org/abs/2405.10654","2024-05-22",5,6,null,"finance"],["Sustainable Finance Taxonomies – Enabling the Transition towards Net Zero? A Transition Score for International Frameworks","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4837372","2024-05-28",6,6,null,"finance"],["Budgeting Counterfactual for Offline RL","https://arxiv.org/abs/2307.06328","2024-05-28",321,6,"Neural Information Processing Systems","ml"],["Circular transformation of the European steel industry renders scrap metal a strategic resource","https://arxiv.org/abs/2406.12098","2024-06-20",3,6,null,"finance"],["Rationalizability, cost-rationalizability, and Afriat’s efficiency index","https://arxiv.org/abs/2406.10136","2024-06-20",891,6,null,"finance"],["Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data","https://arxiv.org/abs/2407.08726","2024-07-17",6,6,null,"ml"],["Consumption–investment optimization with Epstein–Zin utility in unbounded non-Markovian markets","https://arxiv.org/abs/2407.19995","2024-07-31",2,6,"Stochastic Processes and their Applications","finance"],["Short-maturity asymptotics for VIX and European options in local-stochastic volatility models","https://arxiv.org/abs/2407.16813","2024-07-31",8,6,null,"finance"],["Wolf: Dense Video Captioning with a World Summarization Framework","https://arxiv.org/abs/2407.18908","2024-07-31",5,6,"Trans. 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Res.","ml"],["How much should you pay for restaking security?","https://arxiv.org/abs/2408.00928","2024-08-07",6,6,null,"finance"],["Deep Learning for Options Trading: An End-To-End Approach","https://arxiv.org/abs/2407.21791","2024-08-07",7,6,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["A Policy-Gradient Approach to Solving Imperfect-Information Games with Iterate Convergence","https://arxiv.org/abs/2408.00751","2024-08-07",6,6,"International Conference on Learning Representations","ml"],["Adaptive Multilevel Stochastic Approximation of the Value-at-Risk","https://arxiv.org/abs/2408.06531","2024-08-15",3,6,null,"finance"],["The Economic Analysis of the Common Pool Method through the HARA Utility Functions","https://arxiv.org/abs/2408.05194","2024-08-15",6,6,null,"finance"],["Periodic Trading Activities in Financial Markets: Mean-field Liquidation Game with Major-Minor Players","https://arxiv.org/abs/2408.09505","2024-08-21",3,6,null,"finance"],["EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning","https://arxiv.org/abs/2408.12446","2024-08-28",6,6,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["Fairness-Aware Estimation of Graphical Models","https://arxiv.org/abs/2408.17396","2024-09-05",6,6,"Advances in neural information processing systems","ml"],["3D Whole-Body Grasp Synthesis with Directional Controllability","https://arxiv.org/abs/2408.16770","2024-09-05",7,6,"2025 International Conference on 3D Vision (3DV)","ml"],["Best Arm Identification with Minimal Regret","https://arxiv.org/abs/2409.18909","2024-10-03",6,6,null,"ml"],["FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner","https://arxiv.org/abs/2409.18128","2024-10-03",7,6,"Neural Information Processing Systems","ml"],["No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations","https://arxiv.org/abs/2407.10964","2024-11-13",121,6,null,"ml"],["Process and policy insights from an intercomparison of open electricity system capacity expansion models","http://arxiv.org/abs/2411.13783v1","2024-11-27",6,6,"Environmental Research: Energy","finance"],["Retrieval with Learned Similarities","https://arxiv.org/abs/2407.15462","2024-11-27",128,6,"Proceedings of the ACM on Web Conference 2025","ml"],["Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks","https://arxiv.org/abs/2305.01626","2024-11-27",575,6,"Annual Meeting of the Cognitive Science Society","ml"],["Digital technologies and performance incentives: evidence from businesses in the Swiss economy","http://arxiv.org/abs/2412.12780v1","2024-12-18",1,6,"Swiss Journal of Economics and Statistics","finance"],["FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched 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Experiences","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5086625","2025-01-08",0,6,null,"finance"],["Market Making With Fads, Informed, and Uninformed Traders","http://arxiv.org/abs/2501.03658v1","2025-01-08",1,6,"Mathematical Finance","finance"],["LLMs Model Non-WEIRD Populations: Experiments with Synthetic Cultural Agents","http://arxiv.org/abs/2501.06834v1","2025-01-15",3,6,null,"finance"],["Exploring the heterogeneous impacts of Indonesia’s conditional cash transfer scheme (PKH) on maternal health care utilisation using instrumental causal forests","http://arxiv.org/abs/2501.12803v1","2025-01-23",1,6,"Empirical Economics","finance"],["What is causal about causal models and representations?","https://arxiv.org/abs/2501.19335","2025-02-05",5,6,null,"ml"],["Retrieval Augmented Generation for Topic Modeling in Organizational Research: An Introduction with Empirical Demonstration","http://arxiv.org/abs/2502.20963v1","2025-03-05",5,6,null,"finance"],["Towards Temporal-Aware 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Living","https://arxiv.org/abs/2502.03459","2025-04-30",84,6,"AAAI Conference on Artificial Intelligence","ml"],["Integrating earth observation data into the tri-environmental evaluation of the economic cost of natural disasters: a case study of 2025 LA wildfire","http://arxiv.org/abs/2505.01721v1","2025-05-07",4,6,"International Journal of Applied Earth Observation and Geoinformation","finance"],["Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models","http://arxiv.org/abs/2505.03109v1","2025-05-07",1,6,"Energy & Environment","finance"],["Foundation Time-Series AI Model for Realized Volatility Forecasting","http://arxiv.org/abs/2505.11163v1","2025-05-21",5,6,null,"finance"],["Reinforcement learning for trade execution with market and limit orders","http://arxiv.org/abs/2507.06345v1","2025-07-10",2,6,"Quantitative Finance","finance"],["An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization","http://dx.doi.org/10.4310/cms.250607105334","2025-07-25",1200,6,"Communications in Mathematical Sciences","ml"],["A Multi-Task Evaluation of LLMs' Processing of Academic Text Input","http://arxiv.org/abs/2508.11779v1","2025-08-20",5,6,null,"finance"],["REMIND-PyPSA-Eur: integrating power system flexibility into sector-coupled energy transition pathways","http://arxiv.org/abs/2510.04388v1","2025-10-09",4,6,"Progress in Energy","finance"],["DeXposure: A Dataset and Benchmarks for Inter-protocol Credit Exposure in Decentralized Financial Networks","https://arxiv.org/abs/2511.22314v1","2025-12-01",4,6,null,"finance"],["TradeFM: A Generative Foundation Model for Trade-flow and Market Microstructure","https://arxiv.org/abs/2602.23784v1","2026-03-04",5,6,null,"finance"],["Should Bank Stress Tests Be Fair?","https://arxiv.org/abs/2207.13319","2023-05-18",295,5,null,"finance"],["Machine Learning for Socially Responsible Portfolio Optimisation","http://dx.doi.org/10.1145/3596947.3596966","2023-05-24",31,5,"Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence","finance"],["The Key to Organizational and construction Excellence: A Study of Total Quality Management","https://arxiv.org/abs/2305.13104","2023-05-24",2,5,null,"finance"],["Neural variance reduction for stochastic differential equations","https://arxiv.org/abs/2209.12885","2023-05-24",240,5,"Journal of Computational Finance","finance"],["Accounting statement analysis at industry level. A gentle introduction to the compositional approach","https://arxiv.org/abs/2305.16842","2023-06-01",6,5,null,"finance"],["Generalized Autoregressive Score Trees and Forests","https://arxiv.org/abs/2305.18991","2023-06-01",2,5,null,"finance"],["Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models","https://arxiv.org/abs/2305.06704","2023-06-01",21,5,"Applied Mathematical Finance","finance"],["The Dynamic Persistence of Economic Shocks","https://arxiv.org/abs/2306.01511","2023-06-07",5,5,null,"finance"],["An Empirical Analysis of the Effect of Ballot Truncation on Ranked-Choice Electoral Outcomes","https://arxiv.org/abs/2306.05966","2023-06-14",5,5,"The PUMP Journal of Undergraduate Research","finance"],["Interbank Decisions and Margins of Stability: an Agent-Based Stock-Flow Consistent Approach","https://arxiv.org/abs/2306.05860","2023-06-14",5,5,"Journal of Economic Dynamics and Control","finance"],["Latent Factor Analysis in Short Panels","https://arxiv.org/abs/2306.14004","2023-06-28",4,5,null,"finance"],["Machine Learning-Based Variable Selection for Clustered Credit Risk Modeling","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4506537","2023-07-12",1,5,null,"finance"],["Hedging Barrier Options Using Reinforcement Learning","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4566384","2023-09-14",6,5,null,"finance"],["Dynamic Time Warping for Lead-Lag Relationships in Lagged Multi-Factor Models","https://arxiv.org/abs/2309.08800","2023-09-21",6,5,null,"finance"],["Price impact in equity auctions: zero, then linear","https://arxiv.org/abs/2301.05677","2023-09-21",251,5,null,"finance"],["On Risk Management of Mortality and Longevity Capital Requirement: A Predictive Simulation Approach","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4580817","2023-09-28",5,5,null,"finance"],["Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents*","https://arxiv.org/abs/2309.14615","2023-09-28",2,5,"2023 International Conference on Machine Learning and Applications (ICMLA)","finance"],["Towards a Theory of Maximal Extractable Value II: Uncertainty","https://arxiv.org/abs/2309.14201","2023-09-28",3,5,null,"finance"],["Differential quantile-based sensitivity in discontinuous models","https://arxiv.org/abs/2310.06151","2023-10-12",3,5,"Eur. 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Res.","finance"],["A generalization of the rational rough Heston approximation","https://arxiv.org/abs/2310.09181","2023-10-18",5,5,"Quantitative Finance","finance"],["Urban wireless traffic evolution: the role of new devices and the effect of policy","http://dx.doi.org/10.1016/j.telpol.2023.102595","2023-10-25",116,5,null,"finance"],["Enhanced Local Explainability and Trust Scores with Random Forest Proximities","https://arxiv.org/abs/2310.12428","2023-10-25",6,5,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["Reproducible parameter inference using bagged posteriors","https://arxiv.org/abs/2311.02019","2023-11-08",5,5,"Electronic journal of statistics","ml"],["A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options","https://arxiv.org/abs/2311.07211","2023-11-15",2,5,"Computational Economics","finance"],["Inventories, Demand Shocks Propagation and Amplification in Supply Chains","https://arxiv.org/abs/2205.03862","2023-11-15",556,5,null,"finance"],["Narratives from GPT-derived networks of news and a link to financial markets dislocations","https://arxiv.org/abs/2311.14419","2023-11-29",5,5,"International Journal of Data Science and Analytics","finance"],["Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series","https://arxiv.org/abs/2311.13326","2023-11-29",7,5,null,"finance"],["A Comparison of Reinforcement Learning and Deep Trajectory Based Stochastic Control Agents for Stepwise Mean-Variance Hedging","https://arxiv.org/abs/2302.07996","2023-11-29",286,5,null,"finance"],["Does Peer-Reviewed Research Help Predict Stock Returns?","https://arxiv.org/abs/2212.10317","2023-11-29",344,5,null,"finance"],["Adversarial Learning for Feature Shift Detection and Correction","https://arxiv.org/abs/2312.04546","2023-12-13",6,5,"Neural Information Processing Systems","ml"],["Shai: A large language model for asset management","http://arxiv.org/abs/2312.14203","2024-01-03",13,5,null,"finance"],["An arbitrage driven price dynamics of Automated Market Makers in the presence of fees","http://arxiv.org/abs/2401.01526","2024-01-09",6,5,"Frontiers of Mathematical Finance","finance"],["SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks","http://arxiv.org/abs/2401.06249","2024-01-17",6,5,null,"finance"],["Equity auction dynamics: latent liquidity models with activity acceleration","http://arxiv.org/abs/2401.06724","2024-01-17",5,5,"Quantitative Finance","finance"],["PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU","https://arxiv.org/abs/2401.06089","2024-01-17",6,5,"Proceedings of the 53rd International Conference on Parallel Processing","ml"],["The geometry of multi-curve interest rate models","https://arxiv.org/abs/2401.11619","2024-01-23",2,5,"Quantitative Finance","finance"],["Self and Mutually Exciting Point Process Embedding Flexible Residuals and Intensity with Discretely Markovian Dynamics","https://arxiv.org/abs/2401.13890","2024-01-30",5,5,"Methodology and Computing in Applied Probability","finance"],["Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru","http://arxiv.org/abs/2401.13977","2024-01-30",5,5,null,"finance"],["TAC Method for Fitting Exponential Autoregressive Models and Others: Applications in Economy and Finance","http://dx.doi.org/10.3390/math9080862","2024-02-07",1029,5,"Mathematics","finance"],["Emoji driven crypto assets market reactions","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4722627","2024-02-14",3,5,"Management & Marketing","finance"],["Modelling crypto markets by multi-agent reinforcement learning","https://arxiv.org/abs/2402.10803","2024-02-21",5,5,null,"finance"],["Retirement decision with addictive habit persistence in a jump diffusion market","https://arxiv.org/abs/2011.10166","2024-02-21",1188,5,null,"finance"],["Properties of the entropic risk measure EVaR in relation to selected distributions","https://arxiv.org/abs/2403.01468","2024-03-06",3,5,"Modern Stochastics: Theory and Applications","finance"],["A Mean-Field Game of Market Entry: Portfolio Liquidation with Trading Constraints","https://arxiv.org/abs/2403.10441","2024-03-20",5,5,null,"finance"],["Layer 2 be or Layer not 2 be: Scaling on Uniswap v3","https://arxiv.org/abs/2403.09494","2024-03-20",6,5,null,"finance"],["Data as a Contested Commodity","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4767599","2024-03-27",12,5,"Global Jurist","finance"],["Crypto inverse-power options and fractional stochastic volatility","https://arxiv.org/abs/2403.16006","2024-03-27",3,5,"Quantitative Finance","finance"],["ESG and Behavioral Finance: Why ESG Investing Is Primarily a Psychological Phenomenon","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4786610","2024-04-10",4,5,null,"finance"],["Construction of Domain-Specified Japanese Large Language Model for Finance Through Continual Pre-Training","https://arxiv.org/abs/2404.10555","2024-04-17",1,5,"2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","finance"],["6Img-to-3D: Few-Image Large-Scale Outdoor Novel View Synthesis","https://arxiv.org/pdf/2404.12378.pdf","2024-04-24",6,5,"2025 IEEE Intelligent Vehicles Symposium (IV)","ml"],["Score matching for sub-Riemannian bridge sampling","http://arxiv.org/abs/2404.15258v1?utm_source=dlvr.it&utm_medium=twitter","2024-04-24",1,5,null,"ml"],["Ponzi Funds","https://arxiv.org/abs/2405.12768","2024-05-22",1,5,null,"finance"],["On the Efficiency of Convolutional Neural Networks","https://arxiv.org/abs/2404.03617","2024-05-22",48,5,null,"ml"],["Population concentration in high-complexity regions within city during the heat wave","https://arxiv.org/abs/2407.09795","2024-07-17",4,5,"Cambridge Journal of Regions, Economy and Society","finance"],["The Negative Drift of a Limit Order Fill","https://arxiv.org/abs/2407.16527","2024-07-24",1,5,null,"finance"],["Counter-monotonic risk allocations and distortion risk measures","https://arxiv.org/abs/2407.16099","2024-07-24",2,5,"Scandinavian Actuarial Journal","finance"],["Set risk measures","https://arxiv.org/abs/2407.18687","2024-07-31",5,5,null,"finance"],["Risk sharing with lambda value-at-risk under heterogeneous beliefs","https://arxiv.org/abs/2408.03147","2024-08-07",1,5,"Finance and Stochastics","finance"],["Has the Recession Started?","https://arxiv.org/abs/2408.05856","2024-08-15",4,5,"Oxford Bulletin of Economics and Statistics","finance"],["Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals","https://arxiv.org/abs/2408.06679","2024-08-15",2,5,"Proceedings of the 6th ACM International Conference on AI in 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Evidence from non-winning blocks","http://arxiv.org/abs/2509.16052v1","2025-09-22",3,5,null,"finance"],["Signed network models for portfolio optimization","http://arxiv.org/abs/2510.05377v1","2025-10-09",3,5,null,"finance"],["Gingado: A Machine Learning Library Focused on Economics and Finance","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4482553","2025-12-28",916,5,null,"finance"],["Interpretable Machine Learning for Asset Pricing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4473746","2025-12-28",915,5,null,"finance"],["Portfolio Optimization Rules beyond the Mean-Variance Approach","https://arxiv.org/abs/2305.08530","2023-05-18",3,4,null,"finance"],["The Economics of Augmented and Virtual Reality","https://arxiv.org/abs/2305.16872","2023-06-01",6,4,null,"finance"],["Playing the System: Address Manipulation and Access to Schools","https://arxiv.org/abs/2305.18949","2023-06-01",2,4,null,"finance"],["A Comparative Analysis of Portfolio Optimization Using Mean-Variance, Hierarchical Risk Parity, and Reinforcement Learning Approaches on the Indian Stock Market","https://arxiv.org/abs/2305.17523","2023-06-01",5,4,null,"finance"],["Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding","https://arxiv.org/abs/2306.00869","2023-06-07",6,4,null,"finance"],["A comparative study of factor models for different periods of the electricity spot price market","https://arxiv.org/abs/2306.07731","2023-06-14",1,4,"Journal of Commodity Markets","finance"],["Monte Carlo simulation for Barndorff-Nielsen and Shephard model under change of measure","https://arxiv.org/abs/2306.05750","2023-06-14",5,4,"Math. 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Optim.","ml"],["Nonconcave Robust Utility Maximization under Projective Determinacy","https://arxiv.org/abs/2403.11824","2024-03-20",2,4,null,"finance"],["Tax Policy Handbook for Crypto Assets","https://arxiv.org/abs/2403.15074?utm_source=dlvr.it&utm_medium=twitter","2024-03-27",5,4,null,"finance"],["CoLLEGe: Concept Embedding Generation for Large Language Models","https://arxiv.org/abs/2403.15362","2024-03-27",5,4,null,"ml"],["Social media emotions and market behavior","https://arxiv.org/abs/2404.03792","2024-04-10",6,4,"International Review of Financial Analysis","finance"],["A replica analysis of under-bagging","https://arxiv.org/abs/2404.09779","2024-04-17",2,4,"Trans. Mach. Learn. 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Evaluating panel compositions through network analysis. The case of research assessments in Italy","https://arxiv.org/pdf/2405.06476","2024-05-15",5,4,"Scientometrics","finance"],["Risk, utility and sensitivity to large losses","https://arxiv.org/abs/2405.12154","2024-05-22",2,4,null,"finance"],["Optimal Market-Neutral Multivariate Pair Trading on the Cryptocurrency Platform","https://arxiv.org/abs/2405.15461?utm_source=dlvr.it&utm_medium=twitter","2024-05-28",4,4,"International Journal of Financial Studies","finance"],["Worst-cases of distortion riskmetrics and weighted entropy with partial information","https://arxiv.org/abs/2405.19075","2024-06-05",7,4,null,"finance"],["Computation of Robust Option Prices via Structured Multimarginal Martingale Optimal Transport","https://arxiv.org/abs/2406.09959","2024-06-20",6,4,"SIAM J. 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A Computational Complexity Result","https://arxiv.org/abs/2408.07923","2024-08-21",6,4,"AAAI/ACM Conference on AI, Ethics, and Society","finance"],["Attention-based reading, highlighting, and forecasting of the limit order book","https://arxiv.org/abs/2409.02277","2024-09-10",7,4,"Quantitative Finance","finance"],["Model-independent variable selection via the rule-based variable priority","https://arxiv.org/abs/2409.09003","2024-09-18",5,4,null,"ml"],["Boundary Attention: Learning Curves, Corners, Junctions and Grouping","https://arxiv.org/abs/2401.00935","2024-09-18",261,4,"ECCV Workshops","ml"],["A comparison between financial and gambling markets","https://arxiv.org/abs/2409.13528","2024-09-25",5,4,"SN Business & Economics","finance"],["Generative AI, Managerial Expectations, and Economic Activity","http://arxiv.org/abs/2410.03897v1","2024-10-09",5,4,null,"finance"],["Variance reduction combining pre-experiment and in-experiment data","https://arxiv.org/abs/2410.09027v1","2024-10-17",6,4,null,"ml"],["Solving The Dynamic Volatility Fitting Problem: A Deep Reinforcement Learning Approach","http://arxiv.org/abs/2410.11789v1","2024-10-23",8,4,null,"finance"],["The Disparate Benefits of Deep Ensembles","https://arxiv.org/pdf/2410.13831","2024-10-23",6,4,"International Conference on Machine Learning","ml"],["Generative AI and Security Operations Center Productivity: Evidence from Live Operations","http://arxiv.org/abs/2411.03116v1","2024-11-06",1,4,null,"finance"],["Volatility Parametrizations with Random Coefficients: Analytic Flexibility for Implied Volatility Surfaces","http://arxiv.org/abs/2411.04041v1","2024-11-13",7,4,"SIAM J. 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Evidence from Teachers in Sierra Leone","http://arxiv.org/abs/2502.12397v1","2025-02-19",1,4,null,"finance"],["Modelling the term-structure of default risk under IFRS 9 within a multistate regression framework","http://arxiv.org/abs/2502.14479v1","2025-02-26",6,4,"Journal of Applied Statistics","finance"],["SOE's ESG Performance on Financial Flexibility: The Evidence from the Hong Kong Stock Market","http://arxiv.org/abs/2502.14261v1","2025-02-26",6,4,null,"finance"],["Innovative Financing Solutions: A Transformative Driver for Financial Performance of Businesses in Morocco","http://arxiv.org/abs/2502.14393v1","2025-02-26",6,4,null,"finance"],["The effect of remote work on urban transportation emissions: Evidence from 141 cities","http://arxiv.org/abs/2503.00422v1","2025-03-05",4,4,"Transportation Research Interdisciplinary Perspectives","finance"],["Liquidity Competition Between Brokers and an Informed Trader","http://arxiv.org/abs/2503.08287v1","2025-03-12",1,4,"International Journal of Theoretical and Applied Finance","finance"],["No Fear of Discounting - How to Manage the Transition from EONIA to €STR","http://arxiv.org/abs/2503.06806v1","2025-03-12",3,4,null,"finance"],["Unveiling Biases in AI: ChatGPT's Political Economy Perspectives and Human Comparisons","http://arxiv.org/abs/2503.05234v1","2025-03-12",5,4,null,"finance"],["Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure","http://arxiv.org/abs/2503.07558v1","2025-03-12",2,4,null,"finance"],["XVA modelling: validation, performance and model risk management","http://dx.doi.org/10.1007/s10479-023-05323-4","2025-03-12",1330,4,"Annals of Operations Research","finance"],["Option Pricing with Time-Varying Volatility Risk Aversion","http://arxiv.org/abs/2204.06943v4","2025-03-12",1063,4,"The Review of Financial Studies","finance"],["Informer in Algorithmic Investment Strategies on High Frequency Bitcoin Data","http://arxiv.org/abs/2503.18096v1","2025-03-26",3,4,null,"finance"],["Does Speculation Increase Volatility in Grain Futures Markets? Evidence from the Interwar Chicago Board of Trade","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5200192","2025-04-02",853,4,null,"finance"],["An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model","http://arxiv.org/abs/2503.22192v1","2025-04-02",5,4,null,"finance"],["Robust no-arbitrage under projective determinacy","http://arxiv.org/abs/2504.00158v1","2025-04-02",2,4,"Mathematics and Financial Economics","finance"],["Sustainable Aviation Fuels: Opportunities, Alternatives and Challenges for Decarbonizing the Aviation Industry and Foster the Renewable Chemicals","http://arxiv.org/abs/2504.03880v1","2025-04-09",5,4,null,"finance"],["Deploying Chatbots in Customer Service: Adoption Hurdles and Simple Remedies","http://arxiv.org/abs/2504.06145v1","2025-04-09",1,4,null,"finance"],["Breaking the Dimensional Barrier: A Pontryagin-Guided Direct Policy Optimization for Continuous-Time Multi-Asset Portfolio Choice","http://arxiv.org/abs/2504.11116v1","2025-04-16",1,4,null,"finance"],["Determinants of Intellectual Capital Reporting in the Nigeria","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5224030","2025-04-23",3,4,null,"finance"],["Physical Climate Risk in Asset Management","http://arxiv.org/abs/2504.19307v1","2025-04-30",3,4,"Corporate Social Responsibility and Environmental Management","finance"],["Nonparametric estimation of matching efficiency and elasticity in a marriage agency platform: 2014–2025","http://arxiv.org/abs/2505.00607v1","2025-05-07",6,4,"Economics Letters","finance"],["FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions","http://arxiv.org/abs/2505.05784v1","2025-05-14",5,4,null,"finance"],["Signature Decomposition Method Applying to Pair Trading","http://arxiv.org/abs/2505.05332v1","2025-05-14",6,4,"Journal of Futures Markets","finance"],["Humans expect rationality and cooperation from LLM opponents in strategic games","http://arxiv.org/abs/2505.11011v1","2025-05-21",5,4,null,"finance"],["On long-duration storage, weather uncertainty and limited foresight","http://arxiv.org/abs/2505.12538v1","2025-05-21",3,4,null,"finance"],["Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes","http://arxiv.org/abs/2505.14388v1","2025-05-21",1,4,null,"finance"],["The Impact of Economic Policies on Housing Prices: Approximations and Predictions in the UK, the US, France, and Switzerland from the 1980s to Today","http://arxiv.org/abs/2505.09620v1","2025-05-21",41,4,"Risks","finance"],["The Fundamental Role of the Repo Market and Central Clearing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5271022","2025-05-30",3,4,null,"finance"],["Faithful Group Shapley Value","http://arxiv.org/abs/2505.19013v1","2025-05-30",5,4,"Neural Information Processing Systems","finance"],["Private MEV Protection RPCs: Benchmark Stud","http://arxiv.org/abs/2505.19708v1","2025-05-30",4,4,null,"finance"],["Trends and reversion in financial markets on time scales from minutes to decades","http://arxiv.org/abs/2501.16772v2","2025-06-04",127,4,"Physica A: Statistical Mechanics and its Applications","finance"],["Smile asymptotics for Bachelier implied volatility","http://arxiv.org/abs/2506.08067v1","2025-06-11",2,4,"International Journal of Theoretical and Applied Finance","finance"],["Towards Generalizable AI-Assisted Misinformation Inoculation: Protecting Confidence Against False Election Narratives","http://arxiv.org/abs/2410.19202v2","2025-06-11",230,4,null,"finance"],["An Interpretable Machine Learning Approach in Predicting Inflation Using Payments System Data: A Case Study of Indonesia","https://arxiv.org/abs/2506.10369v1","2025-06-18",6,4,null,"finance"],["Beware of Large Shocks! A Non-Parametric Structural Inflation Model","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5244264","2025-06-25",49,4,null,"finance"],["Two Margins of Climate Cooperation: Emissions and Coalition Membership under Tipping","http://arxiv.org/abs/2506.16162v1","2025-06-25",6,4,null,"finance"],["Wealth Thermalization Hypothesis and Social Networks","http://arxiv.org/abs/2506.17720v1","2025-06-25",4,4,"Journal of Statistical Physics","finance"],["Tracking the affordability of least-cost healthy diets helps guide intervention for food security and improved nutrition","http://arxiv.org/abs/2506.22965v1","2025-07-03",5,4,"Food Policy","finance"],["To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions","http://arxiv.org/abs/2507.08584v1","2025-07-17",6,4,null,"finance"],["Explainable Graph Neural Networks via Structural Externalities","http://arxiv.org/abs/2507.17848v1","2025-07-25",6,4,"International Joint Conference on Artificial Intelligence","finance"],["A Comparative Analysis of Statistical and Machine Learning Models for Outlier Detection in Bitcoin Limit Order Books","http://arxiv.org/abs/2507.14960v1","2025-07-25",5,4,null,"finance"],["The impact of brand equity on vertical integration in franchise systems","http://dx.doi.org/10.1016/j.jretai.2025.01.007","2025-08-12",192,4,"Journal of Retailing","finance"],["Estimating Covariance for Global Minimum Variance Portfolio: A Decision-Focused Learning Approach","http://arxiv.org/abs/2508.10776v1","2025-08-20",6,4,"Proceedings of the 6th ACM International Conference on AI in Finance","finance"],["Mapping Microscopic and Systemic Risks in TradFi and DeFi: a literature review","http://arxiv.org/abs/2508.12007v1","2025-08-20",4,4,null,"finance"],["Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models","http://arxiv.org/abs/2508.10192v1","2025-08-20",7,4,null,"finance"],["Deep Learning Option Pricing with Market Implied Volatility Surfaces","http://arxiv.org/abs/2509.05911v1","2025-09-13",6,4,null,"finance"],["Optimal Investment and Consumption in a Stochastic Factor Model","http://arxiv.org/abs/2509.09452v1","2025-09-13",2,4,null,"finance"],["Painting the market: generative diffusion models for financial limit order book simulation and forecasting","http://arxiv.org/abs/2509.05107v1","2025-09-13",8,4,null,"finance"],["From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere","http://arxiv.org/abs/2510.04357v1","2025-10-09",4,4,"Proceedings of the 6th ACM International Conference on AI in Finance","finance"],["Are Penalty Shootouts Better Than a Coin Toss? Evidence From International Club Football in Europe","http://arxiv.org/abs/2510.17641v1","2025-10-27",7,4,"Journal of Sports Economics","finance"],["Empirical examination of the stability of expectations -Augmented Phillips Curve for developing and developed countries","https://arxiv.org/abs/2511.22786v1","2025-12-01",4,4,null,"finance"],["Directional-shift Dirichlet ARMA models for compositional time series with structural break intervention","https://arxiv.org/abs/2601.16821v1","2026-02-02",10,4,"International Journal of Forecasting","finance"],["Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs","https://arxiv.org/abs/2503.01870v2","2026-04-16",415,4,null,"finance"],["Advancing the Analysis of Resilience of Global Phosphate Flows","https://arxiv.org/abs/2305.07362","2023-05-18",6,3,"Resources","finance"],["The Missing Link: Exploring the Relationship Between Transformational Leadership and Change in team members in Construction","https://arxiv.org/abs/2305.13121","2023-05-24",2,3,null,"finance"],["Effective Experience Rating for Large Insurance Portfolios via Surrogate Modeling","https://arxiv.org/abs/2211.06568","2023-05-24",193,3,"Insurance: Mathematics and Economics","finance"],["On random number generators and practical market efficiency","https://arxiv.org/abs/2305.17419","2023-06-01",5,3,"Journal of the Operational Research Society","finance"],["Exponential Utility Maximization in a Discrete Time Gaussian Framework","https://arxiv.org/abs/2305.18136","2023-06-01",3,3,null,"finance"],["Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature","https://arxiv.org/abs/2305.17474","2023-06-01",5,3,null,"finance"],["Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices","https://arxiv.org/abs/2004.13612","2023-06-07",1135,3,"Trans. 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Res.","finance"],["Higher-order Graph Attention Network for Stock Selection with Joint Analysis","https://arxiv.org/abs/2306.15526","2023-06-28",1,3,null,"finance"],["The Legacy of Authoritarianism in a Democracy","https://arxiv.org/abs/2202.03682","2023-06-28",505,3,null,"finance"],["Neural Networks Can Detect Model-Free Static Arbitrage Strategies","https://arxiv.org/abs/2306.16422","2023-07-05",16,3,"Applied Mathematics & Optimization","finance"],["A New Star Is Born: Does the VIX1D Render Common Volatility Forecasting Models for the U.S. Equity Market Obsolete?","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4505785","2023-07-12",2,3,null,"finance"],["SFDR Article 9: Is It All About Impact?","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4505637","2023-07-12",2,3,null,"finance"],["Decentralized Prediction Markets and Sports Books","https://arxiv.org/abs/2307.08768","2023-07-19",2,3,"Mathematical Finance","finance"],["Averaging plus learning models and their asymptotics","https://arxiv.org/abs/1904.08131","2023-07-19",1554,3,"Proceedings of the Royal Society A","finance"],["Generation of SQL Query Using Natural Language Processing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4515801","2023-07-26",6,3,null,"finance"],["Propagation of a carbon price in a credit portfolio through macroeconomic factors","https://arxiv.org/abs/2307.12695","2023-07-26",2,3,null,"finance"],["Double free boundary problem for defaultable corporate bond with credit rating migration risks and their asymptotic behaviors","https://arxiv.org/abs/2301.10898","2023-07-26",181,3,"Journal of Differential Equations","finance"],["Are Large Traders Harmed by Front-running HFTs?","https://arxiv.org/abs/2211.06046","2023-08-02",264,3,"Procedia Computer Science","finance"],["Social contagion and asset prices: Reddit's self-organised bull runs","https://arxiv.org/abs/2104.01847","2023-08-09",856,3,null,"finance"],["On Regularized Optimal Execution Problems and Their Singular Limits","https://arxiv.org/abs/2101.02731","2023-08-09",944,3,"Applied Mathematical Finance","finance"],["Joint calibration of local volatility models with stochastic interest rates using semimartingale optimal transport","https://arxiv.org/abs/2308.14473","2023-08-30",2,3,"Quantitative Finance","finance"],["C Design Patterns for Low-Latency Applications Including High-Frequency Trading","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4565813","2023-09-14",6,3,null,"finance"],["Liquidity Dynamics in RFQ Markets and Impact on Pricing","https://arxiv.org/abs/2309.04216","2023-09-14",6,3,null,"finance"],["Is Media Sentiment Associated with Future Conflict Events?","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4573695","2023-09-21",5,3,null,"finance"],["Is Ethereum Proof of Stake Sustainable? - Considering from the Perspective of Competition Among Smart Contract Platforms -","https://arxiv.org/abs/2309.11394","2023-09-21",1,3,null,"finance"],["Loss Harvesting or Gain Deferral? A Surprising Source of Tax Benefits of Tax-Aware Long-Short Strategies","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4584287","2023-09-28",2,3,null,"finance"],["Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems","https://arxiv.org/abs/2309.14548","2023-09-28",3,3,null,"finance"],["Revisiting the CEO Effect Through a Machine Learning Lens","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4591114","2023-10-04",1,3,null,"finance"],["Can Deep Reinforcement Learning Solve the Portfolio Allocation Problem? (PhD Manuscript)","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4599800","2023-10-12",0,3,null,"finance"],["Variational representations of annealing paths: Bregman information under monotonic embedding","https://arxiv.org/abs/2209.07481","2023-10-16",396,3,"Information Geometry","ml"],["Talk vs. Walk: Lessons from Silent Sustainable Investing of Mutual Funds","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4602285","2023-10-18",4,3,null,"finance"],["Unveiling Early Warning Signals of Systemic Risks in Banks: A Recurrence Network-Based Approach","https://arxiv.org/abs/2310.10283","2023-10-18",2,3,null,"finance"],["The Importance of Being Scrambled: Supercharged Quasi Monte Carlo","https://arxiv.org/abs/2210.16548","2023-10-18",354,3,null,"finance"],["American Option Pricing using Self-Attention GRU and Shapley Value Interpretation","https://arxiv.org/abs/2310.12500","2023-10-25",6,3,null,"finance"],["Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management","https://arxiv.org/abs/2309.16679","2023-10-25",94,3,null,"finance"],["Algorithmic trading, what if it is just an illusion? Evidence from experimental asset markets","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4620189","2023-11-02",108,3,null,"finance"],["Optimal fees in hedge funds with first-loss compensation","http://dx.doi.org/10.1016/j.jbankfin.2020.105884","2023-11-02",1157,3,"Journal of Banking & Finance","finance"],["Volatility Transformers: an optimal transport-inspired approach to arbitrage-free shaping of implied volatility surfaces","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4623940","2023-11-08",64,3,null,"finance"],["Maximizing Portfolio Predictability with Machine Learning","https://arxiv.org/abs/2311.01985","2023-11-08",5,3,null,"finance"],["Deep self-consistent learning of local volatility","https://arxiv.org/abs/2201.07880","2023-11-08",699,3,null,"finance"],["Coarse Wage-Setting and Behavioral Firms","https://arxiv.org/abs/2206.01114","2023-11-08",524,3,null,"finance"],["Multimodal Generative Models for Bankruptcy Prediction Using Textual Data","https://arxiv.org/abs/2211.08405","2023-11-08",378,3,null,"finance"],["The QLBS Model Within the Presence of Feedback Loops Through the Impacts of a Large Trader","https://arxiv.org/abs/2311.06790","2023-11-15",3,3,"Computational Economics","finance"],["Portfolio diversification with varying investor abilities","https://arxiv.org/abs/2311.06519","2023-11-15",4,3,"Europhysics Letters","finance"],["Centralised or Decentralised? 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Rethinking the role of Leveraged Exchange Traded Funds in constructing portfolios to beat a benchmark","http://arxiv.org/abs/2412.05431v1","2024-12-12",6,3,"Quantitative Finance","finance"],["Will remote work drive a new wave of suburbanisation in Poland? Analysing the relocation preferences of Polish office employees","http://arxiv.org/abs/2412.07459v1","2024-12-12",2,3,"Applied Geography","finance"],["Achieving Semantic Consistency: Contextualized Word Representations for Political Text Analysis","http://arxiv.org/abs/2412.04505v1","2024-12-12",9,3,null,"finance"],["PolyModel for Hedge Funds' Portfolio Construction Using Machine Learning","http://arxiv.org/abs/2412.11019v1","2024-12-18",3,3,null,"finance"],["Multivariate distributions in non-stationary complex systems I: A random matrix model and formulae for data analysis","http://arxiv.org/abs/2412.11601v1","2024-12-18",2,3,"Journal of Statistical Mechanics: Theory and Experiment","finance"],["Multiplexing in networks and diffusion","http://arxiv.org/abs/2412.11957v1","2024-12-18",2,3,"Proceedings of the National Academy of Sciences of the United States of America","finance"],["VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human 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An empirical study of the impact of AI on productivity","https://arxiv.org/abs/2310.05985","2023-10-12",6,2,null,"finance"],["Empirical Analysis of the Impact of Legal Tender Digital Currency on Monetary Policy -Based on China's Data","https://arxiv.org/abs/2310.07326","2023-10-12",1,2,null,"finance"],["Statistical arbitrage portfolio construction based on preference relations","http://dx.doi.org/10.1016/j.eswa.2023.121906","2023-10-18",17,2,"Expert Syst. 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News","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4632733","2023-11-15",1,2,null,"finance"],["A Variational Autoencoder Approach to Conditional Generation of Possible Future Volatility Surfaces","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4628457","2023-11-15",6,2,null,"finance"],["Predicting Stock Market Trends with Machine Learning: A Comprehensive Study","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4629045","2023-11-15",159,2,null,"finance"],["Error Analysis of Option Pricing via Deep PDE Solvers: Empirical Study","https://arxiv.org/abs/2311.07231","2023-11-15",2,2,"2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","finance"],["Price-mediated contagion with endogenous market liquidity","https://arxiv.org/abs/2311.05977","2023-11-15",5,2,"Mathematics and Financial Economics","finance"],["The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural 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Evidence From Agricultural Futures Markets","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4795329","2024-04-17",62,2,null,"finance"],["Factor Risk Measures","https://arxiv.org/abs/2404.08475","2024-04-17",5,2,null,"finance"],["Recent Improvements in Cloud Resource Optimization with Dynamic Workloads using Machine Learning","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4803863","2024-04-24",320,2,null,"finance"],["A Survey on IoT Device Authentication and Anomaly Detection for Cyber Security using Machine Learning","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4798899","2024-04-24",319,2,null,"finance"],["Environmental, Social, and Governance (ESG) Transparency and Investment Efficiency","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4807534","2024-05-01",6,2,null,"finance"],["Multiblock MEV opportunities&protections in dynamic AMMs","https://arxiv.org/abs/2404.15489","2024-05-01",8,2,null,"finance"],["Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning","https://arxiv.org/abs/2402.14081","2024-05-01",70,2,null,"ml"],["Does Financial Literacy Impact Investment Participation and Retirement Planning in Japan?","https://arxiv.org/abs/2405.01078","2024-05-08",6,2,null,"finance"],["Accelerating Convergence in Bayesian Few-Shot Classification","https://arxiv.org/abs/2405.01507","2024-05-08",6,2,"International Conference on Machine Learning","ml"],["Beat the Market: An Effective Intraday Momentum Strategy for S&P500 ETF (SPY)","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4824172","2024-05-15",5,2,null,"finance"],["Determinants of Bank Performance: Evidence from Replicating Portfolios","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4822187","2024-05-15",6,2,null,"finance"],["Stock-Bond Correlation: Theory & Empirical Results","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4823094","2024-05-15",16,2,null,"finance"],["Hedging American Put Options with 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An Inflationary Analysis of Pre, During and Post Pandemic","http://arxiv.org/abs/2501.12358v1","2025-01-23",2,2,null,"finance"],["Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring","http://arxiv.org/abs/2501.12285v1","2025-01-23",2,2,null,"finance"],["Floating exercise boundaries for American options in time-inhomogeneous models","http://arxiv.org/abs/2502.00740v1","2025-02-05",3,2,null,"finance"],["Progress in Artificial Intelligence and its Determinants","http://arxiv.org/abs/2501.17894v1","2025-02-05",7,2,null,"finance"],["Capitalizing on a crisis: a computational analysis of all five million British firms during the Covid-19 pandemic","http://dx.doi.org/10.1007/s42001-025-00360-4","2025-02-19",12,2,"Journal of Computational Social Science","finance"],["The Relative Entropy of Expectation and Price","http://arxiv.org/abs/2502.08613v2","2025-02-19",7,2,null,"finance"],["Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation","http://arxiv.org/abs/2502.17011v1","2025-02-26",2,2,null,"finance"],["Event-Based Limit Order Book Simulation under a Neural Hawkes Process: Application in Market-Making","http://arxiv.org/abs/2502.17417v1","2025-02-26",2,2,"Applied Mathematical Finance","finance"],["Contrastive Similarity Learning for Market Forecasting: The ContraSim Framework","http://arxiv.org/abs/2502.16023v1","2025-02-26",4,2,null,"finance"],["The Endurance of Identity-Based Voting: Evidence from the United States and Comparative Democracies","http://arxiv.org/abs/2502.16524v1","2025-02-26",3,2,null,"finance"],["Shifting Power: Leveraging LLMs to Simulate Human Aversion in ABMs of Bilateral Financial Exchanges, A bond market study","http://arxiv.org/abs/2503.00320v2","2025-03-05",4,2,"Adaptive Agents and Multi-Agent Systems","finance"],["To Hedge or Not to Hedge: Optimal Strategies for Stochastic Trade Flow Management","http://arxiv.org/abs/2503.02496v1","2025-03-05",1,2,null,"finance"],["Solar prosumage under different pricing regimes: Interactions with the transmission grid","http://arxiv.org/abs/2502.21306v1","2025-03-05",5,2,"Smart Energy","finance"],["The Impact of Employee Education and Health on Firm-Level TFP in China","http://arxiv.org/abs/2503.00085v1","2025-03-05",5,2,null,"finance"],["The amplifier effect of artificial agents in social contagion","http://arxiv.org/abs/2502.21037v1","2025-03-05",5,2,null,"finance"],["Advanced Deep Learning Techniques for Analyzing Earnings Call Transcripts: Methodologies and Applications","http://arxiv.org/abs/2503.01886v1","2025-03-05",6,2,null,"finance"],["Maximum Hallucination Standards for Domain-Specific Large Language Models","http://arxiv.org/abs/2503.05481v1","2025-03-12",5,2,null,"finance"],["Household Energy Bill Prediction Using Various Machine Learning Techniques","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5183320","2025-03-20",2,2,null,"finance"],["On weak notions of no-arbitrage in a 1D general diffusion market with interest rates","http://arxiv.org/abs/2503.14078v1","2025-03-20",2,2,null,"finance"],["A Note on the Asymptotic Properties of the GLS Estimator in Multivariate Regression with Heteroskedastic and Autocorrelated Errors","http://arxiv.org/abs/2503.13950v1","2025-03-20",2,2,null,"finance"],["Is Crime Displacement Inevitable? Evidence from Police Crackdowns in Fortaleza, Brazil","http://arxiv.org/abs/2503.13571v1","2025-03-20",3,2,null,"finance"],["The impact of artificial intelligence technology on cross-border trade in Southeast Asia: A meta-analytic approach","http://arxiv.org/abs/2503.13529v1","2025-03-20",5,2,null,"finance"],["Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation","http://dx.doi.org/10.1145/3677052.3698683","2025-03-20",126,2,"Proceedings of the 5th ACM International Conference on AI in Finance","finance"],["Ethical Data Governance: Strategies for Reducing Bias in Enterprise Systems","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188642","2025-03-26",5,2,null,"finance"],["Bridging Quasi-Experimental and Structural Approaches for Robust Evaluation of US Airline Mergers","http://arxiv.org/abs/2503.15785v1","2025-03-26",6,2,null,"finance"],["Financial Wind Tunnel: A Retrieval-Augmented Market Simulator","http://arxiv.org/abs/2503.17909v1","2025-03-26",3,2,"Proceedings of the ACM Web Conference 2026","finance"],["A Curationary Tale: Logarithmic Regret in DeFi Lending via Dynamic Pricing","http://arxiv.org/abs/2503.18237v1","2025-03-26",3,2,null,"finance"],["A cost of capital approach to determining the LGD discount rate","http://arxiv.org/abs/2503.23992v1","2025-04-02",2,2,"South African Actuarial Journal","finance"],["Short-Time Behavior of the At-the-Money Implied Volatility for the Jump-Diffusion Stochastic Volatility Bachelier Model","http://arxiv.org/abs/2503.22282v1","2025-04-02",5,2,"SIAM J. 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Evaluating Large Language Models in Resume Screening Across Contextual Variations and Human Expert Benchmarks","http://arxiv.org/abs/2507.08019v1","2025-07-17",10,2,null,"finance"],["Prediction of linear fractional stable motions using codifference, with application to non-Gaussian rough volatility","http://arxiv.org/abs/2507.15437v1","2025-07-25",4,2,null,"finance"],["Free Lunches with Vanishing Risks Most Likely Exist","http://arxiv.org/abs/2508.07108v1","2025-08-12",3,2,null,"finance"],["Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading","http://arxiv.org/abs/2508.07408v1","2025-08-12",2,2,null,"finance"],["Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networks","http://arxiv.org/abs/2508.04671v1","2025-08-12",6,2,null,"finance"],["The European Union deforestation regulation: The impact on Argentina","http://arxiv.org/abs/2508.11796v1","2025-08-20",5,2,"Ecological Economics","finance"],["Banking 2.0: The Stablecoin Banking Revolution - How Digital Assets Are Reshaping Global Finance","http://arxiv.org/abs/2508.11395v1","2025-08-20",5,2,null,"finance"],["Exploring the Shape of Economics: A Multilayer Network Analysis of Social Communities and Intellectual Similarity Among Journals Before and After the 2008 Financial Crisis","http://arxiv.org/abs/2508.09079v1","2025-08-20",8,2,null,"finance"],["Detecting Multilevel Manipulation from Limit Order Book via Cascaded Contrastive Representation Learning","http://arxiv.org/abs/2508.17086v1","2025-08-29",6,2,null,"finance"],["THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics","http://arxiv.org/abs/2508.16936v1","2025-08-29",6,2,"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","finance"],["Integrative Experiments Identify How Punishment Impacts Welfare in Public Goods Games","http://arxiv.org/abs/2508.17151v1","2025-08-29",6,2,null,"finance"],["Using Financial and Sustainability Ratios to Map Sectors. An Approach With Compositional Data","http://arxiv.org/abs/2509.06468v1","2025-09-13",5,2,"Corporate Social Responsibility and Environmental Management","finance"],["DETERring more than Deforestation: Environmental Enforcement Reduces Violence in the Amazon","http://arxiv.org/abs/2509.06076v1","2025-09-13",6,2,null,"finance"],["Are international happiness rankings reliable?","http://arxiv.org/abs/2509.06867v1","2025-09-13",5,2,null,"finance"],["Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation","http://arxiv.org/abs/2509.08163v1","2025-09-13",4,2,null,"finance"],["Adaptive and Regime-Aware RL for Portfolio Optimization","http://arxiv.org/abs/2509.14385v1","2025-09-22",5,2,null,"finance"],["The (Short-Term) Effects of Large Language Models on Unemployment and Earnings","http://arxiv.org/abs/2509.15510v1","2025-09-22",3,2,null,"finance"],["Context-Aware Language Models for Forecasting Market Impact from Sequences of Financial News","http://arxiv.org/abs/2509.12519v1","2025-09-22",7,2,null,"finance"],["Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns","http://dx.doi.org/10.1145/3768292.3770344","2025-10-03",4,2,"Proceedings of the 6th ACM International Conference on AI in Finance","finance"],["Short-rate models with stochastic discontinuities: A PDE approach","http://arxiv.org/abs/2510.04289v1","2025-10-09",4,2,"Math. 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Artificial Intelligence and the Performance of Private Equity Funds","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4490991","2023-06-28",2,1,null,"finance"],["Optimal Investment with Stochastic Interest Rates and Ambiguity","https://arxiv.org/abs/2306.13343","2023-06-28",5,1,null,"finance"],["Data-Driven Risk Measurement by SV-GARCH-EVT Model","https://arxiv.org/abs/2201.09434","2023-06-28",520,1,"2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS)","finance"],["Arbitrage Opportunities and Efficiency Tests in Crypto Options","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4495548","2023-07-05",6,1,null,"finance"],["Intraday Stock Predictability Everywhere","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4496917","2023-07-05",5,1,null,"finance"],["Triangle Fees","https://arxiv.org/abs/2306.17316","2023-07-05",6,1,null,"finance"],["Retail Pricing Format and Rigidity of Regular Prices","https://arxiv.org/abs/2306.17309","2023-07-05",6,1,null,"finance"],["The Frtb-Ima Computational Challenge for Equity Autocallables","https://arxiv.org/abs/2305.06215","2023-07-05",56,1,null,"finance"],["Fast Empirical Scenarios","https://arxiv.org/abs/2307.03927","2023-07-12",4,1,"Journal of Computational Mathematics and Data Science","finance"],["On Unified Adaptive Black-Litterman Mean-Variance Portfolio Management","https://arxiv.org/abs/2307.03391","2023-07-12",5,1,null,"finance"],["Application of Fundamental Analysis in Stock Valuation in the Capital Market and Investment Decisions by Price Methods Earnings Ratio (PER)","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4509690","2023-07-19",5,1,null,"finance"],["Navigating Challenges and Future Trends in Sentiment Analysis for Investment Decision Making","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4513208","2023-07-19",2,1,null,"finance"],["What If Option Closing Prices Were Trustworthy? 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Exploring the Halo Effect in ESG Investing in Indian Equities","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4624179","2023-11-08",2,1,null,"finance"],["On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications","https://arxiv.org/abs/2311.00964","2023-11-08",6,1,"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","finance"],["Optimal Liquidation with High Risk Aversion in the Almgren--Chriss Model: A Case Study","https://arxiv.org/abs/2301.01555","2023-11-08",308,1,null,"finance"],["Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time","https://arxiv.org/abs/2311.01435","2023-11-08",6,1,"Neural Information Processing Systems","ml"],["Machine Learning and the Cross-Section of Emerging Market Corporate Bond Returns","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4632924","2023-11-15",16,1,null,"finance"],["Meme Stocks and Individual Investor Trading: Evidence from Reddit 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Evidence from Deep Learning Financial Statements","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4813310","2024-05-01",31,1,null,"finance"],["Analysis of market efficiency in main stock markets: using Karman-Filter as an approach","https://arxiv.org/abs/2404.16449","2024-05-01",6,1,null,"finance"],["Transforming Credit Guarantee Schemes with Distributed Ledger Technology","https://arxiv.org/abs/2404.19555?utm_source=dlvr.it&utm_medium=twitter","2024-05-01",1,1,null,"finance"],["Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds","https://arxiv.org/abs/2404.16169","2024-05-01",7,1,null,"finance"],["Federated Transfer Component Analysis Towards Effective VNF Profiling","http://arxiv.org/abs/2404.17553v1","2024-05-01",5,1,"GLOBECOM 2024 - 2024 IEEE Global Communications Conference","ml"],["A Study of Machine Learning Techniques for Predictive Analysis of Health Insurance","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4817382","2024-05-08",4,1,null,"finance"],["Bitcoin Sentiment Index and Asset Classes Connectedness: An International Evidence","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4817777","2024-05-08",3,1,null,"finance"],["Pricing and Arbitrage Across 80 Cryptocurrency Exchanges","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4816710","2024-05-08",5,1,null,"finance"],["Responses to COVID-19: The Role of Digital Equity and Government Loan Schemes","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4819581","2024-05-08",1,1,null,"finance"],["$\\epsilon$-Policy Gradient for Online Pricing","https://arxiv.org/abs/2405.03624","2024-05-08",2,1,null,"finance"],["Optimal Nonparametric Estimation of the Expected Shortfall Risk","https://arxiv.org/abs/2405.00357","2024-05-08",7,1,"SIAM J. 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From Evaluation to a Hegelian-Inspired Enhancement","https://arxiv.org/abs/2502.02573","2025-04-23",78,1,null,"ml"],["Machine Learning Algorithms For Accurate Stock Market Forecasting: Case Studies 2012","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5228711","2025-04-30",4834,1,null,"finance"],["MACHINE LEARNING-BASED PREDICTIVE FINANCE MANAGEMENT IN SAP ERP","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5228499","2025-04-30",1274,1,null,"finance"],["High-Accuracy Stock Market Prediction Using Machine Learning Techniques","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5235296","2025-04-30",136,1,null,"finance"],["Target-Date Funds: A State-of-the-Art Review with Policy Applications to Chile's Pension Reform","http://arxiv.org/abs/2504.17713v2","2025-04-30",6,1,null,"finance"],["Compounding Effects in Leveraged ETFs: Beyond the Volatility Drag Paradigm","http://arxiv.org/abs/2504.20116v1","2025-04-30",2,1,null,"finance"],["How much does context affect the accuracy of AI health advice?","http://arxiv.org/abs/2504.18310v1","2025-04-30",5,1,null,"finance"],["AI Recommendations and Non-instrumental Image Concerns","http://arxiv.org/abs/2504.19047v1","2025-04-30",4,1,null,"finance"],["The Effects of Trade Openness on CO2 Emission in Vietnam","http://arxiv.org/abs/2504.17260v1","2025-04-30",6,1,null,"finance"],["Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction","http://arxiv.org/abs/2504.17313v1","2025-04-30",6,1,null,"finance"],["Visualizing Public Opinion on X: A Real-Time Sentiment Dashboard Using VADER and DistilBERT","http://arxiv.org/abs/2504.15448v1","2025-04-30",9,1,null,"finance"],["Model complexity and the performance of global versus regional models","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5241880","2025-05-07",2,1,null,"finance"],["The Allocation of Public Guaranteed Loans to Firms During Covid-19: Credit Risk and Relationship Lending","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5239382","2025-05-07",210,1,null,"finance"],["Multiscale Causal Analysis of Market Efficiency via News Uncertainty Networks and the Financial Chaos Index","http://arxiv.org/abs/2505.01543v1","2025-05-07",5,1,null,"finance"],["The Precautionary Principle and the Innovation Principle: Incompatible Guides for AI Innovation Governance?","http://arxiv.org/abs/2505.02846v1","2025-05-07",6,1,null,"finance"],["Corporate Environmental Governance: A Global Study of Internal Carbon Pricing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5252571","2025-05-14",1,1,null,"finance"],["The bias of IID resampled backtests for rolling window mean-variance portfolios","http://arxiv.org/abs/2505.06383v1","2025-05-14",5,1,"Investment Analysts Journal","finance"],["Who's at Risk? 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A Policy Threshold for AI-Driven Automation","http://arxiv.org/abs/2505.18687v1","2025-05-30",6,1,null,"finance"],["Recalibrating binary probabilistic classifiers","http://arxiv.org/abs/2505.19068v1","2025-05-30",5,1,null,"finance"],["Deep Learning Enhanced Multivariate GARCH","http://arxiv.org/abs/2506.02796v1","2025-06-04",1,1,null,"finance"],["Balancing Profit and Fairness in Risk-Based Pricing Markets","http://arxiv.org/abs/2506.00140v1","2025-06-04",5,1,null,"finance"],["A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems","http://arxiv.org/abs/2505.24159v1","2025-06-04",5,1,"European Journal of Operational Research","finance"],["Critical Dynamics of Random Surfaces and Multifractal Scaling","http://arxiv.org/abs/2505.23928v1","2025-06-04",6,1,null,"finance"],["Transaction Proximity: A Graph-Based Approach to Blockchain Fraud Prevention","http://arxiv.org/abs/2505.24284v1","2025-06-04",5,1,null,"finance"],["Neural Jumps for Option Pricing","http://arxiv.org/abs/2506.05137v1","2025-06-11",6,1,"Journal of Futures Markets","finance"],["Optimal hedging of an informed broker facing many traders","http://arxiv.org/abs/2506.08992v1","2025-06-11",1,1,null,"finance"],["Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling","http://arxiv.org/abs/2506.07299v1","2025-06-11",3,1,null,"finance"],["Do conditional cash transfers in childhood increase economic resilience in adulthood? 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Sci.","finance"],["Pricing Fractal Derivatives under Sub-Mixed Fractional Brownian Motion with Jumps","http://arxiv.org/abs/2506.24111v1","2025-07-03",3,0,null,"finance"],["Satellite and Mobile Phone Data Reveal How Violence Affects Seasonal Migration in Afghanistan","http://arxiv.org/abs/2507.00279v1","2025-07-03",3,0,null,"finance"],["Temperature Sensitivity of Residential Energy Demand on the Global Scale: A Bayesian Partial Pooling Model","http://arxiv.org/abs/2506.22768v1","2025-07-03",6,0,null,"finance"],["Digital Transformation and the Restructuring of Employment: Evidence from Chinese Listed Firms","http://arxiv.org/abs/2506.23230v1","2025-07-03",4,0,null,"finance"],["The Network Effects of the EU Carbon Border Adjustment Mechanism with a Quantitative Trade Model","http://arxiv.org/abs/2506.23341v2","2025-07-03",4,0,null,"finance"],["Decentralised Multi-Manager Fund Framework","http://arxiv.org/abs/2507.00978v1","2025-07-03",2,0,null,"finance"],["Pathwise Roughness of Bitcoin Realized Volatility: Stability Across Time, Sampling, and Volatility Measures","http://arxiv.org/abs/2507.00575v1","2025-07-03",2,0,"International Journal of Modern Physics C","finance"],["From Means to Medians: Optimal Benchmark Design","http://arxiv.org/abs/2506.22142v1","2025-07-03",6,0,null,"finance"],["RobustiPy: An efficient next-generation multiversal library with model selection, averaging, resampling, and explainable AI","http://arxiv.org/abs/2506.19958v1","2025-07-03",9,0,"Patterns","finance"],["On the hidden costs of passive investing","http://arxiv.org/abs/2506.21775v1","2025-07-03",7,0,null,"finance"],["Suspense and surprise in European football","http://arxiv.org/abs/2506.21253v1","2025-07-03",7,0,"European Journal of Operational Research","finance"],["Empirical estimator of diversification quotient","http://arxiv.org/abs/2506.20385v1","2025-07-03",8,0,null,"finance"],["Perpetual American Standard and Lookback Options in Insider Models with Progressively Enlarged Filtrations","http://arxiv.org/abs/2507.03470v1","2025-07-10",6,0,null,"finance"],["Does Overnight News Explain Overnight Returns?","http://arxiv.org/abs/2507.04481v1","2025-07-10",4,0,null,"finance"],["Beating the Best Constant Rebalancing Portfolio in Long-Term Investment: A Generalization of the Kelly Criterion and Universal Learning Algorithm for Markets with Serial Dependence","http://arxiv.org/abs/2507.05994v1","2025-07-10",2,0,null,"finance"],["Dynamic Asset Pricing with {\\alpha}-MEU Model","http://arxiv.org/abs/2507.04093v1","2025-07-10",5,0,null,"finance"],["Event-Time Anchor Selection for Multi-Contract Quoting","http://arxiv.org/abs/2507.05749v1","2025-07-10",2,0,null,"finance"],["F&O Expiry vs. First-Day SIPs: A 22-Year Analysis of Timing Advantages in India's Nifty 50","http://arxiv.org/abs/2507.04859v1","2025-07-10",3,0,null,"finance"],["Economic Policy Taxonomy","http://arxiv.org/abs/2507.03233v1","2025-07-10",7,0,null,"finance"],["Behavioral Probability Weighting and Portfolio Optimization under Semi-Heavy Tails","http://arxiv.org/abs/2507.04208v1","2025-07-10",5,0,null,"finance"],["Measuring Social Media Network Effects","http://arxiv.org/abs/2507.04545v1","2025-07-10",4,0,null,"finance"],["A job-based assessment of economic complexity: from hidden to revealed","http://arxiv.org/abs/2507.05846v1","2025-07-10",2,0,null,"finance"],["skfolio: Portfolio Optimization in Python","http://arxiv.org/abs/2507.04176v2","2025-07-10",5,0,"Proceedings of The 2025 International Research and Industry Symposium on Artificial Intelligence","finance"],["The connection of the stability of the binary choice model with its discriminatory power","http://arxiv.org/abs/2507.04866v1","2025-07-10",3,0,null,"finance"],["Efficiency through Evolution, A Darwinian Approach to Agent-Based Economic Forecast Modeling","http://arxiv.org/abs/2507.04074v1","2025-07-10",5,0,null,"finance"],["Resolving CAP Through Automata-Theoretic Economic Design: A Unified Mathematical Framework for Real-Time Partition-Tolerant Systems","http://arxiv.org/abs/2507.02464v1","2025-07-10",7,0,null,"finance"],["Pricing and Hedging Prepayment Option","http://arxiv.org/abs/2507.08641v1","2025-07-17",6,null,null,"finance"],["Generalized Orlicz premia","http://arxiv.org/abs/2507.09181v1","2025-07-17",5,0,null,"finance"],["Analyzing the Crowding-Out Effect of Investment Herding on Consumption: An Optimal Control Theory Approach","http://arxiv.org/abs/2507.10052v1","2025-07-17",3,0,"2025 44th Chinese Control Conference (CCC)","finance"],["Artificial Finance: How AI Thinks About Money","http://arxiv.org/abs/2507.10933v1","2025-07-17",2,0,null,"finance"],["Do Temporary Workers Face Higher Wage Markdowns? Evidence from India's Automotive Sector","http://arxiv.org/abs/2507.08222v1","2025-07-17",6,0,null,"finance"],["From Revolution to Ruin: An Empirical Analysis Yemen's State Collapse","http://arxiv.org/abs/2507.08512v1","2025-07-17",6,0,null,"finance"],["Forecasting NYC Yellow Taxi Ridership Decline: A Time Series Analysis of Daily Passenger Counts (2017-2019)","http://arxiv.org/abs/2507.10588v1","2025-07-17",6,0,null,"finance"],["An Accurate Discretized Approach to Parameter Estimation in the CKLS Model via the CIR Framework","http://arxiv.org/abs/2507.10041v1","2025-07-17",3,0,null,"finance"],["Quantifying Crypto Portfolio Risk: A Simulation-Based Framework Integrating Volatility, Hedging, Contagion, and Monte Carlo Modeling","http://arxiv.org/abs/2507.08915v1","2025-07-17",6,0,"Statistics, Optimization & Information Computing","finance"],["Modelling reliability under deep decarbonisation of the European electricity grid","http://arxiv.org/abs/2503.23604v3","2025-07-17",109,0,null,"finance"],["Time Deep Gradient Flow Method for pricing American options","http://arxiv.org/abs/2507.17606v1","2025-07-25",2,0,null,"finance"],["Optimal Trading under Instantaneous and Persistent Price Impact, Predictable Returns and Multiscale Stochastic Volatility","http://arxiv.org/abs/2507.17162v1","2025-07-25",21,0,"Applied Mathematical Finance","finance"],["Binary Tree Option Pricing Under Market Microstructure Effects: A Random Forest Approach","http://arxiv.org/abs/2507.16701v1","2025-07-25",3,0,null,"finance"],["Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity","http://arxiv.org/abs/2507.17099v1","2025-07-25",2,0,null,"finance"],["Homeownership as a Life Cycle Goldmine: Evidence from Macrohistory","http://arxiv.org/abs/2507.17624v1","2025-07-25",2,0,null,"finance"],["Mitigating Financial Frictions in Agriculture: A Framework for Stablecoin Adoption","http://arxiv.org/abs/2507.14970v1","2025-07-25",5,0,null,"finance"],["Equity, Emissions and the Inflation Reduction Act","http://arxiv.org/abs/2507.15054v1","2025-07-25",5,0,null,"finance"],["Left Leaning Models: How AI Evaluates Economic Policy?","http://arxiv.org/abs/2507.15771v1","2025-07-25",4,0,null,"finance"],["iQRA for Electricity Markets","http://arxiv.org/abs/2507.15079v1","2025-07-25",5,null,null,"finance"],["Alternative Loss Function in Evaluation of Transformer Models","http://arxiv.org/abs/2507.16548v2","2025-07-25",3,0,null,"finance"],["AI-Driven Spatial Distribution Dynamics: A Comprehensive Theoretical and Empirical Framework for Analyzing Productivity Agglomeration Effects in Japan's Aging Society","http://arxiv.org/abs/2507.19911v2","2025-08-07",12,0,null,"finance"],["Valuation Measure of the Stock Market using Stochastic Volatility and Stock Earnings","http://arxiv.org/abs/2508.06010v1","2025-08-12",4,0,null,"finance"],["Periodic evaluation of defined-contribution pension fund: A dynamic risk measure approach","http://arxiv.org/abs/2508.05241v1","2025-08-12",5,0,null,"finance"],["EEA Professional Climate Survey Report","http://arxiv.org/abs/2508.04302v2","2025-08-12",6,0,null,"finance"],["Finding core balanced modules in statistically validated stock networks","http://arxiv.org/abs/2508.04970v1","2025-08-12",5,0,"Expert Syst. 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Educational Transitions and Labor Market Payoffs","http://arxiv.org/abs/2508.13366v1","2025-08-20",2,0,null,"finance"],["Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models","http://arxiv.org/abs/2508.19006v1","2025-08-29",3,0,null,"finance"],["Identifying Risk Variables From Raw ESG Data Using Its Hierarchical Structure","http://arxiv.org/abs/2508.18679v1","2025-08-29",3,0,null,"finance"],["Risk-neutral Pricing of Random-expiry Options using Trinomial Trees","http://arxiv.org/abs/2508.17014v1","2025-08-29",6,0,null,"finance"],["Forecasting Probability Distributions of Financial Returns with Deep Neural Networks","http://arxiv.org/abs/2508.18921v1","2025-08-29",3,0,null,"finance"],["Combining a Large Pool of Forecasts of Value-at-Risk and Expected Shortfall","http://arxiv.org/abs/2508.16919v1","2025-08-29",6,0,null,"finance"],["Combined machine learning for stock selection strategy based on dynamic weighting methods","http://arxiv.org/abs/2508.18592v1","2025-08-29",3,0,null,"finance"],["The Walras-Bowley Lecture: Fragmentation of Matching Markets and How Economics Can Help Integrate Them","http://arxiv.org/abs/2508.19628v2","2025-08-29",2,0,null,"finance"],["Do More Suspicious Transaction Reports Lead to More Convictions for Money Laundering?","http://arxiv.org/abs/2508.18932v1","2025-08-29",3,0,null,"finance"],["From Coverage to Consequences: BMI, Health Behaviors, and Self-rated Health After Medicaid Contraction","http://arxiv.org/abs/2508.19155v1","2025-08-29",3,0,null,"finance"],["Revisiting H\\\"otte (2025): A Companion Analysis with Extended Evidence from UK Inter-Industry Payment Data, 2017-2024","http://arxiv.org/abs/2508.17695v1","2025-08-29",4,0,null,"finance"],["The Coherent Multiplex: Scalable Real-Time Wavelet Coherence Architecture","http://arxiv.org/abs/2508.19994v1","2025-08-29",2,0,"2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)","finance"],["Asymmetric super-Heston-rough volatility model with Zumbach effect as scaling limit of quadratic Hawkes processes","http://arxiv.org/abs/2508.16566v1","2025-08-29",7,0,null,"finance"],["Predicting Market Troughs: A Machine Learning Approach with Causal Interpretation","http://arxiv.org/abs/2509.05922v1","2025-09-13",6,0,null,"finance"],["Chaotic Bayesian Inference: Strange Attractors as Risk Models for Black Swan Events","http://arxiv.org/abs/2509.08183v1","2025-09-13",4,0,null,"finance"],["Hedging options on asset portfolios against just one underlying asset in the presence of transaction costs","http://arxiv.org/abs/2509.07718v1","2025-09-13",4,0,"Research in Mathematics","finance"],["Joint calibration of the volatility surface and variance term structure","http://arxiv.org/abs/2509.08096v1","2025-09-13",4,0,null,"finance"],["Decarbonizing Basic Chemicals Production in North America, Europe, Middle East, and China: a Scenario Modeling Study.","http://arxiv.org/abs/2509.08279v1","2025-09-13",3,0,"Environmental science & technology","finance"],["Nested Optimal Transport Distances","http://arxiv.org/abs/2509.06702v1","2025-09-13",5,0,null,"finance"],["Market-driven equilibria for distributed photovoltaic panel investment","http://arxiv.org/abs/2509.07203v1","2025-09-13",5,0,"Applied Energy","finance"],["Rethinking Beta: A Causal Take on CAPM","http://arxiv.org/abs/2509.05760v1","2025-09-13",7,0,null,"finance"],["Characterizing Optimality in Dynamic Settings: A Monotonicity-based Approach","http://arxiv.org/abs/2509.05354v1","2025-09-13",10,0,null,"finance"],["Unbiased Rough Integrators and No Free Lunch in Rough-Path-Based Market Models","http://arxiv.org/abs/2509.14529v1","2025-09-22",4,0,null,"finance"],["Income disaster, role of income support, and optimal retirement","http://arxiv.org/abs/2509.12874v2","2025-09-22",6,0,"Applied Economics Letters","finance"],["Conditional Deep Levy Models for Exotic Derivatives: History-Aware Path Generation and P-Q Payoff Diagnostics","http://arxiv.org/abs/2509.13374v1","2025-09-22",6,0,null,"finance"],["The safe harbor paradox: when combining human and AI skills creates or destroys value","http://arxiv.org/abs/2509.14057v2","2025-09-22",5,0,null,"finance"],["In-between Transatlantic (Monetary) Disturbances","http://arxiv.org/abs/2509.13578v1","2025-09-22",6,0,null,"finance"],["Paradoxes of the public sector productivity measurement","http://arxiv.org/abs/2509.14795v1","2025-09-22",4,0,null,"finance"],["Poverty and Perceptions of Electoral Integrity in the U.S","http://arxiv.org/abs/2509.15343v1","2025-09-22",4,0,null,"finance"],["Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction","http://arxiv.org/abs/2509.10802v1","2025-09-22",9,0,null,"finance"],["The Price of Disaster: Estimating the Impact of Hurricane Harvey on the Texas Construction Labor Market","http://arxiv.org/abs/2509.11501v1","2025-09-22",7,0,null,"finance"],["Mean-field theory of the Santa Fe model revisited: a systematic derivation from an exact BBGKY hierarchy for the zero-intelligence limit-order book model","http://arxiv.org/abs/2510.01814v1","2025-10-03",1,0,null,"finance"],["From Headlines to Holdings: Deep Learning for Smarter Portfolio Decisions","http://arxiv.org/abs/2509.24144v1","2025-10-03",4,0,null,"finance"],["Meyer risk measures","http://arxiv.org/abs/2509.24747v1","2025-10-03",4,0,null,"finance"],["Cognitive and non-cognitive efficiency gaps between private and public schools and their determinants in the Latin America region–a hybrid data envelopment analysis and interpretable machine learning approach based on PISA 2022","http://arxiv.org/abs/2509.25353v1","2025-10-03",4,0,"Cogent Education","finance"],["Academic resilience in the Latin America region post COVID-19 pandemic -- an explainable machine learning analysis of its determinants and heterogeneity using alternative definitions","http://arxiv.org/abs/2509.24830v1","2025-10-03",4,0,null,"finance"],["“Rich-get-richer”? Platform attention and earnings inequality using Patreon earnings data","http://arxiv.org/abs/2509.26523v1","2025-10-03",3,0,"Industrial and Corporate Change","finance"],["A Unified Framework for Spatial and Temporal Treatment Effect Boundaries: Theory and Identification","http://arxiv.org/abs/2510.00754v1","2025-10-03",2,0,null,"finance"],["FR-LUX: Friction-Aware, Regime-Conditioned Policy Optimization for Implementable Portfolio Management","http://arxiv.org/abs/2510.02986v1","2025-10-09",6,0,null,"finance"],["Inverse Portfolio Optimization with Synthetic Investor Data: Recovering Risk Preferences under Uncertainty","http://arxiv.org/abs/2510.06986v1","2025-10-09",1,0,null,"finance"],["Robust Pricing and Hedging of American Options in Continuous Time","http://arxiv.org/abs/2510.05463v1","2025-10-09",3,0,null,"finance"],["Predictive economics: Rethinking economic methodology with machine learning","http://arxiv.org/abs/2510.04726v1","2025-10-09",3,0,null,"finance"],["Hidden Actions and Hidden Information in Peer Review: A Dynamic Solution","http://arxiv.org/abs/2510.04906v1","2025-10-09",3,0,null,"finance"],["Gas supply shocks, uncertainty and price setting: evidence from Italian firms","http://arxiv.org/abs/2510.03792v1","2025-10-09",5,0,null,"finance"],["Who benefits the most? Direct and indirect effects of a free cesarean section policy in Benin","http://arxiv.org/abs/2510.03658v1","2025-10-09",5,0,null,"finance"],["Labor Market Reforms, Flexibility, and Employment Transitions Across Formal and Informal Sectors","http://arxiv.org/abs/2510.03668v1","2025-10-09",5,0,null,"finance"],["Tail-Safe Hedging: Explainable Risk-Sensitive Reinforcement Learning with a White-Box CBF-QP Safety Layer in Arbitrage-Free Markets","http://arxiv.org/abs/2510.04555v1","2025-10-09",3,0,null,"finance"],["Mechanism design and equilibrium analysis of smart contract mediated resource allocation","http://arxiv.org/abs/2510.05504v1","2025-10-09",2,0,"Journal of Industrial and Management Optimization","finance"],["Smart Contract Adoption in Derivative Markets under Bounded Risk: An Optimization Approach","http://arxiv.org/abs/2510.07006v1","2025-10-09",1,0,null,"finance"],["Hedge Funds in German Bonds","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5057388","2025-10-27",264,null,null,"finance"],["Private Video Game Returns","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5047711","2025-10-27",322,null,null,"finance"],["ESG Alpha in Corporate Bonds","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5051908","2025-10-27",284,null,null,"finance"],["Semi-Analytical Pricing of American Options with Hybrid Dividends via Integral Equations and the GIT Method","http://arxiv.org/abs/2510.18159v1","2025-10-27",7,0,"Jurnal derivate","finance"],["Aligning Multilingual News for Stock Return Prediction","http://arxiv.org/abs/2510.19203v1","2025-10-27",5,0,null,"finance"],["An Empirical study on Mutual fund factor-risk-shifting and its intensity on Indian Equity Mutual funds","http://arxiv.org/abs/2510.19619v1","2025-10-27",5,0,null,"finance"],["An Efficient Calibration Framework for Volatility Derivatives under Rough Volatility with Jumps","http://arxiv.org/abs/2510.19126v1","2025-10-27",6,0,null,"finance"],["Compensation-based risk-sharing","http://arxiv.org/abs/2510.19511v1","2025-10-27",5,0,null,"finance"],["Denoising Complex Covariance Matrices with Hybrid ResNet and Random Matrix Theory: Cryptocurrency Portfolio Applications","http://arxiv.org/abs/2510.19130v1","2025-10-27",6,0,"International Journal of Modern Physics C","finance"],["Managing Portfolios Across the Return Distribution","http://arxiv.org/abs/2510.19271v1","2025-10-27",5,0,null,"finance"],["Pricing Variance Swap for Multi-Asset Stochastic Volatility Models","http://arxiv.org/abs/2510.20047v1","2025-10-27",5,0,null,"finance"],["Optimal allocations with distortion risk measures and mixed risk attitudes","http://arxiv.org/abs/2510.18236v1","2025-10-27",6,0,null,"finance"],["Reinforcement Learning and Consumption-Savings Behavior","http://arxiv.org/abs/2510.20748v1","2025-10-27",4,0,null,"finance"],["Parental environment and student achievement: Does a Matthew effect exist?","http://arxiv.org/abs/2510.18481v1","2025-10-27",6,0,null,"finance"],["Evaluating Local Policies in Centralized Markets","http://arxiv.org/abs/2510.20032v1","2025-10-27",5,0,null,"finance"],["Government Transparency and Innovation: Evidence from Wireless Products","http://arxiv.org/abs/2510.19377v1","2025-10-27",5,0,null,"finance"],["Integrating Transparent Models, LLMs, and Practitioner-in-the-Loop: A Case of Nonprofit Program Evaluation","http://arxiv.org/abs/2510.19799v1","2025-10-27",5,0,null,"finance"],["Towards a feminist understanding of digital platform work","http://arxiv.org/abs/2510.19450v1","2025-10-27",5,0,null,"finance"],["Differential Beliefs in Financial Markets Under Information Constraints: A Modeling Perspective","http://arxiv.org/abs/2511.01486v1","2025-11-04",1,0,null,"finance"],["Probabilistic Rule Models as Diagnostic Layers: Interpreting Structural Concept Drift in Post-Crisis Finance","http://arxiv.org/abs/2510.26627v1","2025-11-04",5,0,null,"finance"],["Implicit quantile preferences of the Fed and the Taylor rule","http://arxiv.org/abs/2510.24362v1","2025-11-04",7,0,null,"finance"],["The Omniscient, yet Lazy, Investor","http://arxiv.org/abs/2510.24467v1","2025-11-04",7,0,null,"finance"],["Estimating Nationwide High-Dosage Tutoring Expenditures: A Predictive Model Approach","http://arxiv.org/abs/2510.24899v1","2025-11-04",7,0,null,"finance"],["PEARL: Private Equity Accessibility Reimagined with Liquidity","http://arxiv.org/abs/2510.23183v1","2025-11-04",8,0,null,"finance"],["Election and Subjective Well-Being:Evidence from the 2024 U.S. Presidential Election","http://arxiv.org/abs/2511.04912v1","2025-11-12",5,0,null,"finance"],["Impacts of large-scale food fortification on the cost of nutrient-adequate diets: a modelling study in 89 countries","http://arxiv.org/abs/2511.05438v1","2025-11-12",5,0,"BMJ Public Health","finance"],["A Step Towards a Solution to the Confidence-Driven Liquidity Trap Morass","http://arxiv.org/abs/2511.04782v1","2025-11-12",6,0,null,"finance"],["Blameocracy: Causal Rhetoric in Politics","http://arxiv.org/abs/2504.06550v3","2025-11-12",217,0,null,"finance"],["Early Crash Signal (AE)","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4930925","2025-11-19",427,null,null,"finance"],["Satellite Census for Climate Risk in Housing","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4975765","2025-12-01",420,null,null,"finance"],["AI-Powered Direct Indexing: Exploring Thematic Universes for Enhanced Risk-Adjusted Returns","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4977007","2025-12-01",382,0,null,"finance"],["Market Effects of Order Flow in Crypto","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4961610","2025-12-01",399,null,null,"finance"],["CREDIT DERIVATIVE -An Alternative Tool for Indian Commercial Banks to Transfer Credit 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Assessing Remote Works Potential to Rebalance EU Regional Development","https://arxiv.org/abs/2604.08252v1","2026-04-16",7,0,null,"finance"],["Financial Tail Risk Beyond Lipschitz Continuity via Semi-Discrete Optimal Transport","https://arxiv.org/abs/2609.27785","2026-09-25",39,0,null,"finance"],["Propose, Don't Judge: An Anytime-Valid Referee for LLM Agents That Mine Investment Factors","https://arxiv.org/abs/2609.27051","2026-09-25",3,0,null,"finance"],["The Impossible Trinity of Time-Series Validation: A Conservation Law among Training Sufficiency, Test Coverage, and Temporal Causality","https://arxiv.org/abs/2609.29530","2026-09-25",23,0,null,"finance"],["Robust Market Making with Hawkes Order Flow and Price Impact via Adversarial Reinforcement Learning","https://arxiv.org/abs/2609.22785","2026-09-25",6,0,null,"finance"],["Financial Language Models as Applied Artificial Intelligence Systems for News-Based Trading under Market 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Networks","https://arxiv.org/abs/2609.25542","2026-09-25",3,0,null,"finance"],["From Tone to Trajectory: Continuous Sentiment and the Shape of Monetary Policy Communication","https://arxiv.org/abs/2609.25034","2026-09-25",32,0,null,"finance"],["Trust, Rule of Law, and the Size Premium: Evidence from a Meta-Analysis","https://arxiv.org/abs/2609.26212","2026-09-25",45,0,null,"finance"],["Hierarchical Multi-Task Learning with Liquidity-Aware Signals for Stock Forecasting","https://arxiv.org/abs/2609.25617","2026-09-25",3,0,null,"finance"],["Stealing profits: Spread-based temporal hierarchy forecasting for day-ahead electricity markets","https://arxiv.org/abs/2609.23223","2026-09-25",6,0,null,"finance"],["Nonlinear Drivers of Macroeconomic Tail Risk: A Threshold Stochastic Volatility-in-Mean VAR with Regime-Dependent Leverage","https://arxiv.org/abs/2609.26994","2026-09-25",3,0,null,"finance"],["ETH-TraceBench: A Large-Scale Event-Stream Benchmark for Ethereum DeFi under Temporal, Protocol, and Contract Shift","https://arxiv.org/abs/2609.23659","2026-09-25",5,0,null,"finance"],["FinInteract: Benchmarking Clarification and Intent Integration in Ambiguous Financial Question Answering","https://arxiv.org/abs/2609.24002","2026-09-25",4,0,null,"finance"],["A Stochastic Nested Fixed Point Algorithm for Large-Scale BLP Estimation","https://arxiv.org/abs/2609.23998","2026-09-25",4,0,null,"finance"],["The\"Rough\"HAR Model","https://arxiv.org/abs/2609.21587","2026-09-25",7,0,null,"finance"],["Liquidity Provision and Rebate Design in Option Markets","https://arxiv.org/abs/2609.26606","2026-09-25",3,0,null,"finance"],["Surface-Driven Stochastic Volatility for Commodity Options: Identification of Stochastic Vol-of-Vol and Leverage from Smile Dynamics","https://arxiv.org/abs/2609.27138","2026-09-25",3,0,null,"finance"],["Network Realized GARCH--It\\^o Models: Volatility Spillovers with High-Frequency Identification","https://arxiv.org/abs/2609.29515","2026-09-25",31,0,null,"finance"],["FinRankGRPO: Optimizing LLMs for Listwise Financial Asset Ranking via Group Relative Policy Optimization","https://arxiv.org/abs/2609.24175","2026-09-25",4,0,null,"finance"],["Feasible Multi-Asset Optimal Execution under Cash Constraints","https://arxiv.org/abs/2609.27786","2026-09-25",38,0,null,"finance"],["Learning to Detect Symbolic Failure: Machine Learning and the Limits of Black-Scholes","https://arxiv.org/abs/2609.27764","2026-09-25",32,0,null,"finance"],["Rule-Based Pricing Algorithms and Market Outcomes: An Experimental Study","https://arxiv.org/abs/2609.26861","2026-09-25",3,0,null,"finance"],["Risk Measures under Paired-Ambiguity: A Deep Learning Reflected BSDE Framework","https://arxiv.org/abs/2609.23768","2026-09-25",5,0,null,"finance"],["Artificial Intelligence and Financial Markets","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7515878","2026-09-25",1,null,null,"finance"],["Label Engineering for Stock Selection","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7494298","2026-09-25",3,null,null,"finance"],["Reinforcement Learning Agents Enable Collusion","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7500483","2026-09-25",1,null,null,"finance"],["Defence Sector Repricing Before Ukraine","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7477998","2026-09-25",6,null,null,"finance"],["Forward Guidance and Bank Credit Supply","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7514178","2026-09-25",2,null,null,"finance"],["LLM Stock Rankings and Look-Ahead Bias","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7490302","2026-09-25",3,null,null,"finance"],["Training-Data Leakage in LLM Stock Signals","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7485818","2026-09-25",4,null,null,"finance"],["Zero Fees Drive Fake Volume in Crypto Futures","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7512338","2026-09-25",2,null,null,"finance"],["FOMC Semantic Novelty and Financial Stress","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7519200","2026-09-25",1,null,null,"finance"],["LASSO Benchmarks Reveal Mutual Fund Alpha","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7508299","2026-09-25",2,null,null,"finance"],["Margin Debt Growth and Factor Momentum","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7512099","2026-09-25",2,null,null,"finance"],["LLM Factor Search with Transaction Cost Penalties","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7498983","2026-09-25",4,null,null,"finance"],["Training Option Models on Prices not Volatility","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7498639","2026-09-25",3,null,null,"finance"],["Securitization Amplifies Rate Transmission","https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7515879","2026-09-25",1,null,null,"finance"],["Hedge Fund Leverage 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