metadata
license: mit
library_name: transformers
pipeline_tag: image-to-text
datasets:
- gogoduan/Math-VR-train
- gogoduan/Math-VR-bench
language:
- en
- zh
tags:
- mathematical-reasoning
- visual-reasoning
- code-generation
- qwen2.5-vl
CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images
This repository contains the MatplotCode model, a core component from the paper CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images. MatPlotCode is state-of-the-art image-code converter capable of converting math figures into 'matplotlib' code.
The model is built upon the Qwen2.5-VL architecture and is compatible with the transformers library.
For more details, please refer to the project homepage and the GitHub repository.
Citation
If you find this work helpful, please consider citing our paper:
@article{duan2025code,
title={CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images},
author={Duan, Chengqi and Fang, Rongyao and Wang, Yuqing and Wang, Kun and Huang, Linjiang and Zeng, Xingyu and Li, Hongsheng and Liu, Xihui},
journal={arXiv preprint arXiv:2510.11718},
year={2025}
}
@inproceedings{
wang2025mathcodervl,
title={MathCoder-{VL}: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning},
author={Ke Wang and Junting Pan and Linda Wei and Aojun Zhou and Weikang Shi and Zimu Lu and Han Xiao and Yunqiao Yang and Houxing Ren and Mingjie Zhan and Hongsheng Li},
booktitle={The 63rd Annual Meeting of the Association for Computational Linguistics},
year={2025},
url={https://openreview.net/forum?id=nuvtX1imAb}
}