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---
base_model:
- Qwen/Qwen2.5-VL-7B-Instruct
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
tags:
- transformers
- multimodal
---
## 🌟 ReVisual-R1 (7B) — Open-Source Multimodal Reasoner
> **One cold-start, two RL stages, endless reasoning power.**
---
### 🔑 Highlights
* **SOTA on 9 tough benchmarks** covering visual–math + text reasoning.
* **Three-Stage SRO Training**
1. **Text Cold-Start** — seed deep reflection
2. **Multimodal RL** — align vision & logic
3. **Text RL** — polish fluency & brevity
* **PAD** (Prioritized Advantage Distillation) keeps gradients alive.
* **Efficient-Length Reward** = concise, self-reflective CoT.
---
### 📚 Resources
* [Paper](https://arxiv.org/abs/2506.04207)
* [Code](https://github.com/CSfufu/Revisual-R1)
---
### 📌 Citation
```bibtex
@misc{chen2025advancingmultimodalreasoningoptimized,
title = {Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning},
author = {Shuang Chen and Yue Guo and Zhaochen Su and Yafu Li and Yulun Wu and Jiacheng Chen and
Jiayu Chen and Weijie Wang and Xiaoye Qu and Yu Cheng},
year = {2025},
eprint = {2506.04207},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2506.04207}
}
```
Take ReVisual-R1 for a spin and let us know what you build! 🎯 |