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--- |
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license: mit |
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library_name: transformers |
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pipeline_tag: image-to-text |
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datasets: |
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- gogoduan/Math-VR-train |
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- gogoduan/Math-VR-bench |
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language: |
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- en |
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- zh |
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tags: |
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- mathematical-reasoning |
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- visual-reasoning |
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- code-generation |
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- qwen2.5-vl |
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--- |
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# CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images |
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<div align="center"> |
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<a href="https://math-vr.github.io"><img src="https://img.shields.io/badge/Project-Homepage-green" alt="Home"></a> |
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<a href="https://huggingface.co/papers/2510.11718"><img src="https://img.shields.io/badge/Paper-red" alt="Paper"></a> |
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<a href="https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT"><img src="https://img.shields.io/badge/GitHub-Code-keygen.svg?logo=github&style=flat-square" alt="GitHub"></a> |
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</div> |
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This repository contains the **MatplotCode** model, a core component from the paper [CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images](https://huggingface.co/papers/2510.11718). |
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MatPlotCode is state-of-the-art image-code converter capable of converting math figures into 'matplotlib' code. |
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The model is built upon the Qwen2.5-VL architecture and is compatible with the `transformers` library. |
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For more details, please refer to the [project homepage](https://math-vr.github.io) and the [GitHub repository](https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT). |
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## Citation |
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If you find this work helpful, please consider citing our paper: |
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```bibtex |
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@article{duan2025codeplot, |
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title={CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images}, |
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author={Duan, Chengqi and Sun, Kaiyue and Fang, Rongyao and Zhang, Manyuan and Feng, Yan and Luo, Ying and Liu, Yufang and Wang, Ke and Pei, Peng and Cai, Xunliang and others}, |
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journal={arXiv preprint arXiv:2510.11718}, |
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year={2025} |
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} |
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``` |
