---
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! 🎯