| --- |
| license: mit |
| --- |
| |
| # VideoDPO |
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| ## Dataset Summary |
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| This dataset is derived from [VideoDPO](https://github.com/CIntellifusion/VideoDPO) for our [UnifiedReward-7B](https://huggingface.co/CodeGoat24/UnifiedReward-7b) training. |
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| For further details, please refer to the following resources: |
| - 📰 Paper: https://arxiv.org/pdf/2503.05236 |
| - 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/ |
| - 🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a |
| - 🤗 Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede |
| - 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io) |
|
|
| ## Citation |
| ``` |
| @article{unifiedreward-think, |
| title={Unified multimodal chain-of-thought reward model through reinforcement fine-tuning}, |
| author={Wang, Yibin and Li, Zhimin and Zang, Yuhang and Wang, Chunyu and Lu, Qinglin and Jin, Cheng and Wang, Jiaqi}, |
| journal={arXiv preprint arXiv:2505.03318}, |
| year={2025} |
| } |
| |
| @article{unifiedreward, |
| title={Unified reward model for multimodal understanding and generation}, |
| author={Wang, Yibin and Zang, Yuhang and Li, Hao and Jin, Cheng and Wang, Jiaqi}, |
| journal={arXiv preprint arXiv:2503.05236}, |
| year={2025} |
| } |
| ``` |
