hewei2001/ReachQA
[EMNLP 2025] Distill Visual Chart Reasoning Ability from LLMs to MLLMs
This project offers a unique dataset, ReachQA, designed to improve how large language models (LLMs) understand and reason about visual charts. It provides a way to generate a large number of diverse charts and corresponding questions and answers using code as an intermediary. Researchers and developers working on AI models that analyze charts and graphs would use this dataset to enhance their models' visual reasoning capabilities.
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Use this if you are a researcher or developer looking to train or fine-tune multimodal AI models to better interpret and answer questions based on various types of data visualizations.
Not ideal if you are an end-user simply looking for a tool to analyze your own business charts; this is a development resource for building such tools, not an application itself.
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Aug 25, 2025
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