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README.md
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The model has undergone a cold-start SFT stage and an RL stage of training, and is capable of embedding text, images, multiple images, and videos. In particular, UME-R1 can generate either discriminative or generative embeddings as needed, and the generative embeddings possess the potential for test-time scaling.
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- **Repository:** [UME-R1](https://github.com/
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- **Paper:** [UME-R1](https://arxiv.org/abs/2511.00405)
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## Train/Eval Data
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The model has undergone a cold-start SFT stage and an RL stage of training, and is capable of embedding text, images, multiple images, and videos. In particular, UME-R1 can generate either discriminative or generative embeddings as needed, and the generative embeddings possess the potential for test-time scaling.
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- **Repository:** [UME-R1](https://github.com/XMUDeepLIT/UME-R1)
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- **Paper:** [UME-R1](https://arxiv.org/abs/2511.00405)
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## Train/Eval Data
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