---
license: mit
pipeline_tag: image-text-to-text
library_name: transformers
---

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

<div align="center">
<a href="https://math-vr.github.io"><img src="https://img.shields.io/badge/Project-Homepage-green" alt="Home"></a>
<a href="https://huggingface.co/papers/2510.11718"><img src="https://img.shields.io/badge/Paper-red" alt="Paper"></a>
<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>
</div>

This repository contains the **CodePlot-CoT** model, a core component of the paper [CodePlot-CoT: Mathematical Visual Reasoning by Thinking with Code-Driven Images](https://huggingface.co/papers/2510.11718).
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.

<div align="center">
  <img src="https://github.com/HKU-MMLab/Math-VR-CodePlot-CoT/raw/main/figures/teaser.png" width="100%"/>
</div>

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).

## Citation
If you find this work helpful, please consider citing our paper:
```bibtex
@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}
}
```