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README.md
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This model is trained on LLaVA-Video-7B-Qwen2 based on DPO preference data constructed by our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b) for enhanced video understanding ability.
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For further details, please refer to the following resources:
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- π° Paper:
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- πͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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- π€ Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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- π€ Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
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## Citation
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```
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```
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This model is trained on LLaVA-Video-7B-Qwen2 based on DPO preference data constructed by our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b) for enhanced video understanding ability.
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For further details, please refer to the following resources:
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- π° Paper: https://arxiv.org/pdf/2503.05236
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- πͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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- π€ Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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- π€ Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
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## Citation
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```
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@article{UnifiedReward,
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title={Unified Reward Model for Multimodal Understanding and Generation.},
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author={Wang, Yibin and Zang, Yuhang, and Li, Hao and Jin, Cheng and Wang Jiaqi},
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journal={arXiv preprint arXiv:2503.05236},
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year={2025}
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}
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```
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