---
title: Multimodal Foundation Models in Auditing Practices
url: https://www.ml-quant.com/papers/ssrn/4881256/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4881256
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881256
featured: 2024-07-03
citations: unknown
topic: LLMs & Text
---


# Multimodal Foundation Models in Auditing Practices

The article proposes an AI-based multimodal auditing system that integrates data from diverse documents and allows auditors to complete tasks using natural language, demonstrating its feasibility through a simulation case study.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4881256
- Identifier: SSRN 4881256
- Released: 2024-07-01
- First featured: Quant Letter No. 55 (2024-07-03): https://www.ml-quant.com/issues/2024-07-03/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: LLMs & Text

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