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README.md
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---
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base_model:
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- Qwen/Qwen2.5-Omni-7B
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pipeline_tag: reinforcement-learning
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---
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<div align="center">
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# Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
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Hao Zhong<sup>\*</sup>,
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[Muzhi Zhu](https://scholar.google.com/citations?user=064gBH4AAAAJ&hl=zh-CN&oi=ao)<sup>*</sup>,
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Zongze Du<sup>\*</sup>,
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Zheng Huang<sup></sup>,
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[Canyu Zhao](https://github.com/volcverse)<sup></sup>,
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[Mingyu Liu](https://mingyulau.github.io/)<sup></sup>,
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[Wen Wang](https://github.com/encounter1997)<sup></sup>,
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[Hao Chen](https://scholar.google.com/citations?user=FaOqRpcAAAAJ)<sup></sup>,
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[Chunhua Shen](https://cshen.github.io)<sup></sup>
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[Zhejiang University](https://www.zju.edu.cn/english/)
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*Equal contribution
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[📄 **Paper**](https://arxiv.org/abs/2505.20256) | [🌐 **Project Page**](https://aim-uofa.github.io/OmniR1/) | [🤖 **Model Weights**](https://www.modelscope.cn/models/jxzh2020/Omni-R1) | [🤗 **Model Weights**](https://huggingface.co/Haoz0206/Omni-R1)
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</div>
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## 🖊️ Citation
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If you find this work helpful for your research, please cite:
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```BibTeX
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@article{zhong2025omnir1reinforcementlearningomnimodal,
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title={Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration},
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author={Hao Zhong and Muzhi Zhu and Zongze Du and Zheng Huang and Canyu Zhao and Mingyu Liu and Wen Wang and Hao Chen and Chunhua Shen},
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year={2025},
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eprint={2505.20256},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2505.20256},
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}
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```
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