csfufu/Revisual-R1-final

🌟 ReVisual-R1 (7B) — Open-Source Multimodal Reasoner

One cold-start, two RL stages, endless reasoning power.

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🔑 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.

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📚 Resources

• Paper
• Code

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📌 Citation

@article{chen2025advancing,
  title={Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning},
  author={Chen, Shuang and Guo, Yue and Su, Zhaochen and Li, Yafu and Wu, Yulun and Chen, Jiacheng and Chen, Jiayu and Wang, Weijie and Qu, Xiaoye and Cheng, Yu},
  journal={arXiv preprint arXiv:2506.04207},
  year={2025}
}

Take ReVisual-R1 for a spin and let us know what you build! 🎯