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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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+
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+ <div align="center">
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+
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+ # Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
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+
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+ Hao Zhong<sup>\*</sup>, &nbsp;
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+ [Muzhi Zhu](https://scholar.google.com/citations?user=064gBH4AAAAJ&hl=zh-CN&oi=ao)<sup>*</sup>, &nbsp;
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+ Zongze Du<sup>\*</sup>, &nbsp;
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+ Zheng Huang<sup></sup>, &nbsp;
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+ [Canyu Zhao](https://github.com/volcverse)<sup></sup>, &nbsp;
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+ [Mingyu Liu](https://mingyulau.github.io/)<sup></sup>, &nbsp;
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+ [Wen Wang](https://github.com/encounter1997)<sup></sup>, &nbsp;
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+ [Hao Chen](https://scholar.google.com/citations?user=FaOqRpcAAAAJ)<sup></sup>, &nbsp;
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+ [Chunhua Shen](https://cshen.github.io)<sup></sup>
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+
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+ [Zhejiang University](https://www.zju.edu.cn/english/)
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+
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+ *Equal contribution
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+
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+ [📄 **Paper**](https://arxiv.org/abs/2505.20256)&nbsp; | &nbsp;[🌐 **Project Page**](https://aim-uofa.github.io/OmniR1/) | &nbsp;[🤖 **Model Weights**](https://www.modelscope.cn/models/jxzh2020/Omni-R1) | &nbsp;[🤗 **Model Weights**](https://huggingface.co/Haoz0206/Omni-R1)
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+ </div>
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+
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+
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+ ## 🖊️ Citation
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+
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+ If you find this work helpful for your research, please cite:
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+
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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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+ ```