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UniME-R1-2B

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Transformers
Safetensors
English
Retrieval
Multimodal
Embedding
Chain-of-Thought
Reinforcement-Learning
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@@ -31,7 +31,7 @@ Ziyong Feng,</span>
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  Glint Lab
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  [![GitHub](https://img.shields.io/badge/⭐-GitHub-black?logo=github)](https://github.com/deepglint/UniME-R1)
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- [![Paper](https://img.shields.io/badge/📄-Paper-b31b1b.svg)]()
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  [![Model](https://img.shields.io/badge/🤗-UniME--R1_Models-yellow)](https://huggingface.co/DeepGlint-AI)
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  </div>
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@@ -148,11 +148,14 @@ UniME-R1 achieves the best overall performance at both model scales. Notably, th
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  If you find this repository useful, please use the following BibTeX entry for citation.
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  ```bibtex
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- @misc{unime-r1,
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- title = {Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval},
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- author = {Sun, Zelong and Wang, Jun and Yang, Kaicheng and Gu, Tiancheng and Feng, Ziyong and Lu, Zhiwu},
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- year = {2025},
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- url = {https://github.com/deepglint/UniME-R1}
 
 
 
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  }
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  ```
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  Glint Lab
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  [![GitHub](https://img.shields.io/badge/⭐-GitHub-black?logo=github)](https://github.com/deepglint/UniME-R1)
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+ [![Paper](https://img.shields.io/badge/📄-Paper-b31b1b.svg)](https://arxiv.org/abs/2608.06060)
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  [![Model](https://img.shields.io/badge/🤗-UniME--R1_Models-yellow)](https://huggingface.co/DeepGlint-AI)
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  </div>
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  If you find this repository useful, please use the following BibTeX entry for citation.
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  ```bibtex
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+ @misc{unimer1,
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+ title={Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval},
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+ author={Zelong Sun and Jun Wang and Kaicheng Yang and Tiancheng Gu and Ziyong Feng and Zhiwu Lu},
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+ year={2026},
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+ eprint={2608.06060},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2608.06060},
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  }
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  ```
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