This repo contains the codebase for our paper TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding
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.
trailer_caption.mp4
Under construction
Please kindly cite our paper if you use our code, data, models or results:
@misc{ku2025theoremexplainagentmultimodalexplanationsllm,
title={TheoremExplainAgent: Towards Multimodal Explanations for LLM Theorem Understanding},
author={Max Ku and Thomas Chong and Jonathan Leung and Krish Shah and Alvin Yu and Wenhu Chen},
year={2025},
eprint={2502.19400},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2502.19400},
}
This project is released under the the MIT License.
We want to thank VoteeAI for sponsoring API keys to access the close-sourced models.
The code is built upon the below repositories, we thank all the contributors for open-sourcing.