CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images

This repository contains the CodePlot-CoT model, a core component of the paper CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images. CodePlot-CoT is an innovative code-driven Chain-of-Thought (CoT) paradigm designed to enable Vision Language Models (VLMs) to "think with images" when solving mathematical problems. Instead of generating pixel-based images directly, the model outputs executable plotting code to represent its "visual thoughts". This code is then executed to render a precise figure, which is reinput to the model as a visual input for subsequent reasoning steps.

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{duan2025codeplot,
  title={CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images},
  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},
  journal={arXiv preprint arXiv:2510.11718},
  year={2025}
}