zhaosuifeng/FinRAGBench-V
FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain (EMNLP 2025)
This project helps financial analysts, researchers, and data scientists evaluate how well AI models understand complex financial documents. It takes in multimodal financial reports (with text, charts, and tables) and questions, then assesses the AI's ability to provide accurate answers with clear visual citations. The output helps users understand the strengths and weaknesses of different AI models in handling real-world financial information.
Use this if you are a researcher or practitioner building and evaluating AI systems that need to accurately answer questions based on diverse financial documents, including charts and tables.
Not ideal if you are looking for an off-the-shelf financial analysis tool to use directly for market predictions or investment decisions.
Stars
12
Forks
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Language
Python
License
Apache-2.0
Category
Last pushed
Jan 13, 2026
Commits (30d)
0
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