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@@ -9,7 +9,7 @@ license: mit
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  This repository contains [T2V-Turbo](https://github.com/Ji4chenLi/t2v-turbo) and its reference model for DPO based on our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b).
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  For further details, please refer to the following resources:
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- - πŸ“° Paper:
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  - πŸͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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  - πŸ€— Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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  - πŸ€— Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
@@ -19,5 +19,10 @@ You can refer to [Github](https://github.com/CodeGoat24/UnifiedReward) for detai
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  ## Citation
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  ```
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-
 
 
 
 
 
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  ```
 
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  This repository contains [T2V-Turbo](https://github.com/Ji4chenLi/t2v-turbo) and its reference model for DPO based on our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b).
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  For further details, please refer to the following resources:
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+ - πŸ“° Paper: https://arxiv.org/pdf/2503.05236
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  - πŸͺ Project Page: https://codegoat24.github.io/UnifiedReward/
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  - πŸ€— Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
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  - πŸ€— 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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  ```