Topic
Other
Everything that doesn't fit the other topics: economics, policy and the odd surprise.
- Papers featured
- 1,067
- Last 12 months
- 52
- Cited 100+
- 46
- Top venue
- arXiv
Featured per quarter
The last four quarters are highlighted.
Methods that come up
Click one to search for it.
Most cited
Featured papers in this topic with the most citations today.
- 20 Jun 20242,228cites
Depth Anything V2
Depth Anything V2 is a new model for monocular depth estimation, using synthetic and large-scale pseudo-labeled real images for faster, more accurate results and setting a new evaluation benchmark.
Machine learningIn Neural Information Processing Systems
- 9 Oct 20242,199cites
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
MMLU-Pro, an improved dataset, expands the Massive Multitask Language Understanding benchmark by adding tougher questions and more choices, serving as a better benchmark to monitor progress in the field.
Machine learningIn Neural Information Processing Systems
- 25 Sep 20241,558cites
Qwen2.5-Coder Technical Report
The report unveils the Qwen2.5-Coder series, an improvement from its predecessor, showcasing remarkable code generation abilities and achieving top-tier performance in various code-related tasks.
Machine learningFeatured 2×
- 18 Oct 2023627cites
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
The 4DGS model is introduced, capable of reconstructing dynamic 3D scenes from 2D images and generating diverse views over time, providing real-time rendering efficiency.
Machine learningIn International Conference on Learning Representations
- 1 May 2024603cites
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Understanding Human Activity: The paper presents Ego-Exo4D, a large-scale video dataset and benchmark challenge featuring human activities from various perspectives, aimed at improving first-person video understanding.
Machine learningIn 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 23 Jan 2025593cites
Continuous 3D Perception Model with Persistent State
The paper presents CUT3R, a unified framework that uses a recurrent model to generate metric-scale pointmaps from a stream of images, enabling dense scene reconstruction that updates with new images.
Machine learningIn 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 16 Oct 2023574cites
FateZero: Fusing Attentions for Zero-shot Text-based Video Editing
Text-based Video Editing: The article introduces FateZero, a new method for editing real-world videos using text, which outperforms previous models in maintaining video structure, motion, and frame consistency.
Machine learningIn 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
- 23 Oct 2024481cites
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation
The paper presents Janus, a framework that separates visual encoding into different pathways for multimodal understanding and generation, offering improved performance and flexibility.
Machine learningIn 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- 21 Aug 2024480cites
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
The article presents Transfusion, a new method for training multi-modal models on both discrete and continuous data, which performs better in terms of scalability and generation of images and text.
Machine learning
- 15 May 2024443cites
An Embodied Generalist Agent in 3D World
LEO, a multi-modal generalist agent, is designed to perform various tasks in a 3D environment, including 3D captioning, question answering, and navigation.
Machine learningIn International Conference on Machine Learning
- 6 Nov 2024425cites
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
Autonomous Vehicle Simulation: NAVSIM, a non-reactive simulator, allows for large-scale real-world testing of vision-based driving policies using extensive datasets and simulation-based metrics, bridging the gap between open-loop and closed-loop evaluations.
Machine learningIn Neural Information Processing Systems
- 12 Jun 2024415cites
PGSR: Planar-Based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
PGSR, a new method for high-quality surface reconstruction and rendering, uses an unbiased depth rendering method and a camera exposure compensation model to handle scenes with large illumination variations.
Machine learningIn IEEE Transactions on Visualization and Computer Graphics
Latest
- 4 Mar 20263cites
The Role of Family Support in the Well-Being of Older People: Evidence from Malaysia and Viet Nam
The study shows that how older adults in Malaysia and Vietnam live and the support they receive from their children greatly affect their mental and physical health. It emphasizes the importance of social safety nets as family dynamics evolve.
arXiv
- 16 Jan 20260cites
Instruction Finetuning Llama3-8B Model Using LoRA for Financial Named Entity Recognition
The paper shows that using instruction fine-tuning and Low-Rank Adaptation with Meta's Llama 3 enhances financial named-entity recognition, leading to top performance in converting unformatted reports into organized knowledge.
arXivIn Proceedings of the 2025 6th International Conference on Big Data Economy and Information Management
- 16 Jan 20261cites
Constrained Assortment and Price Optimization under Generalized Nested Logit Models
We propose exact algorithms for optimizing pricing in assortment strategies under a generalized nested logit model, offering better quality and scalability for large applications than current approaches.
arXiv
- 28 Dec 20250cites
Factors Undermining Quality of Medical-Care Services Delivered by a Physician in Today’s Medical-Care Market Country-Wise: Statistical Analysis
This study examines the factors affecting the quality of medical services in Bangladesh, utilizing patient feedback and statistical analysis to pinpoint crucial influences on care quality.
SSRNFeatured 2×
- 28 Dec 20252cites
Carbon Risk and Equity Prices
Carbon transition risk is adversely affecting equity prices in the US and Europe, driving fund flows to greener investments.
SSRNFeatured 2×
- 28 Dec 20251cites
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies
It introduces Ultimate Host Economies for Foreign Direct Investment (FDI), reexamining the global FDI network through a probabilistic analysis of Italy.
SSRNIn Adv. Data Anal. Classif.Featured 2×
- 28 Dec 20258cites
Financial Intermediation and New Technology: Theoretical and Regulatory Implications of Digital Financial Markets
The study highlights how technological changes are reshaping financial intermediaries, necessitating regulatory updates.
SSRNFeatured 2×
- 28 Dec 20253cites
The Quantitative Comparative Economics: indices of similarity to economic systems
The article presents new objective measures for classifying economic systems, aiming to improve the accuracy and depth of comparative economic analysis.
arXivIn International Economics and Economic Policy
- 28 Dec 20250cites
Measuring and Rating Socioeconomic Disparities among Provinces: A Case of Türkiye
The study examines socioeconomic differences across Turkey's provinces, showing that western regions tend to be better off than those in the east and southeast.
arXivIn Journal of Economic Policy Researches / İktisat Politikası Araştırmaları Dergisi
- 19 Dec 2025518shares
Myopic Stock Pricing
US. stock analysts' short-term focus leads to inaccurate price predictions due to varying expectations over different time frames.
SSRNFeatured 2×
- 14 Dec 20251cites
Local and Global Balance in Financial Correlation Networks: an Application to Investment Decisions
The study uses local balance shifts in signed networks to find better-performing assets in financial crises.
arXiv
- 14 Dec 20251cites
Multidimensional Sorting: Comparative Statics
The article explains how technological change influences income and sorting in multidimensional assignment models using U.S. data.
arXiv
- 14 Dec 20251cites
Capability Accumulation and Conditional Convergence: Towards a Dynamic Theory of Economic Complexity
A dynamic model describes how economic complexity shifts from unconditional to conditional convergence as capability intensity increases, offering clear solutions for diversification.
arXiv
- 14 Dec 20250cites
The Distributional Consequences of Paid-Priority Queues
A fast-track queue system benefits high-income individuals while disadvantaging low-income ones, causing middle-income individuals to prefer the free queue despite potential payment for faster access.
arXiv
- 14 Dec 20250cites
Estimating the Impact of Case Management in MDLs: Lone Pine Orders and Bellwether Trials
Lone Pine orders and bellwether trials in multidistrict litigation enhance case resolution by offering valuable evidence and insights, mitigating concerns about settlement pressures.
arXiv
- 14 Dec 20250cites
Workflow is All You Need: Escaping the "Statistical Smoothing Trap" via High-Entropy Information Foraging and Adversarial Pacing
The DeepNews Framework is designed to improve long-form financial writing by enhancing coherence and minimizing inaccuracies using advanced retrieval and planning techniques.
arXiv
- 1 Dec 202530shares
Satellite Census for Climate Risk in Housing
The article suggests using open-source satellite data to map residential buildings worldwide, aiming to evaluate their vulnerability to climate risks and their environmental effects.
SSRNFeatured 3×
- 1 Dec 20252cites
The Private Capital Alpha
This study outlines a framework for estimating alpha in private capital, showing notable annual returns for buyouts but unreliable data for venture capital and real estate.
SSRNFeatured 2×
- 1 Dec 20250cites
Legal Implications of Tax Securitization Transactions in India
The paper examines India's growing asset securitization trend and the confusing tax issues that come with it.
SSRNFeatured 2×
- 1 Dec 20250cites
Quantum Network of Assets (QNA): A Density-Operator Framework for Market Dependence and Structural Risk Diagnostics
The QNA framework applies quantum techniques to examine interdependencies in financial markets, offering new metrics for understanding entanglements and hidden information that classical methods miss.
arXiv
- 1 Dec 20250cites
La ley del descenso tendencial de la tasa de ganancia: Evidencia emp\'irica para la econom\'ia espa\~nola
The article studies the decline of profit rates in Spain since 1960, linking it to capital composition and surplus value.
arXiv
- 1 Dec 20250cites
Suppression and Deterrence: Revisiting the Welfare Consequence of HIV Stigma
The study shows that while HIV stigma reduces testing rates, it may also discourage risky behaviors, suggesting some stigma might benefit society.
arXiv
- 1 Dec 20250cites
Killed in and after Action: The Long-lasting Effects of Combat Exposure on Mortality
A study found that Black men drafted in the Vietnam War faced higher long-term death rates due to combat than those drafted later.
arXiv
- 1 Dec 20250cites
Does cross-modal discounting generalize to non-WEIRD cultures? A comparison of the USA and Japan
Research indicates that cross-modal decisions increase patience globally, but Japanese participants are generally more patient than Americans.
arXiv
- 1 Dec 20251cites
Complexity Beyond Incentives: The Critical Role of Reporting Language
An analysis shows that complex reporting in assignment systems causes misreporting, with sequential choice methods being the most accurate and efficient.
arXiv
- 1 Dec 20253cites
Too Big to Monitor? Network Scale and the Breakdown of Decentralized Monitoring
A model assesses decentralized versus centralized monitoring in public services, identifying key thresholds for effective regulatory oversight, especially in U.S. nursing homes.
arXiv
- 1 Dec 20252cites
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach
The article introduces equalized odds in survival analysis, using Conditional Mutual Information Augmentation to improve fairness and prediction accuracy in various fields.
Machine learning
- 1 Dec 20250cites
A comparison of translation performance between DeepL and Supertext
The study compares DeepL and Supertext machine translation systems, finding Supertext excels at translating longer texts while emphasizing the need for context-sensitive evaluations.
Machine learningIn Machine Translation Summit
- 12 Nov 20250cites
Election and Subjective Well-Being:Evidence from the 2024 U.S. Presidential Election
After the 2024 U.S. election, people’s reported well‑being fell sharply and stayed low, especially for women, non‑White, urban, and more educated groups — suggesting political polarization harms mental health.
arXiv
- 12 Nov 20250cites
Impacts of large-scale food fortification on the cost of nutrient-adequate diets: a modeling study in 89 countries
Large‑scale food fortification slightly lowers the cost of nutritious diets (median 1.7–4.5%), but results vary a lot by country and group, so local design matters.
arXiv