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  [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FTIGER-AI-Lab%2FTheoremExplainAgent&count_bg=%23C83DB9&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false)](https://hits.seeyoufarm.com)
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  This repo contains the codebase for our paper [TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding](https://arxiv.org/abs/2502.19400)
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- ACL 2025 main
 
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  ## Introduction
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  TheoremExplainAgent is an AI system that generates long-form Manim videos to visually explain theorems, proving its deep understanding while uncovering reasoning flaws that text alone often hides.
 
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  [![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2FTIGER-AI-Lab%2FTheoremExplainAgent&count_bg=%23C83DB9&title_bg=%23555555&icon=&icon_color=%23E7E7E7&title=visitors&edge_flat=false)](https://hits.seeyoufarm.com)
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  This repo contains the codebase for our paper [TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding](https://arxiv.org/abs/2502.19400)
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+ **ACL 2025 main**
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  ## Introduction
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  TheoremExplainAgent is an AI system that generates long-form Manim videos to visually explain theorems, proving its deep understanding while uncovering reasoning flaws that text alone often hides.