Text Generation
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beit3_llava
Inference Endpoints
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@@ -52,13 +52,19 @@ More resistant to over-generalization, even compared to GPT-4V:
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  ## Citation
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- If you find RLHF-V is useful in your work, please consider citing it with:
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-
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- ```
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- @article{2023rlhf-v,
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- author = {Tianyu Yu and Yuan Yao and Haoye Zhang and Taiwen He and Yifeng Han and Ganqu Cui and Jinyi Hu and Zhiyuan Liu and Hai-Tao Zheng and Maosong Sun and Tat-Seng Chua},
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- title = {RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback},
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- journal = {arxiv},
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- year = {2023},
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  }
 
 
 
 
 
 
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  ```
 
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  ## Citation
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+ If you find this work helpful, please consider cite our papers 📝:
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+
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+ ```bibtex
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+ @article{yu2023rlhf,
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+ title={Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback},
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+ author={Yu, Tianyu and Yao, Yuan and Zhang, Haoye and He, Taiwen and Han, Yifeng and Cui, Ganqu and Hu, Jinyi and Liu, Zhiyuan and Zheng, Hai-Tao and Sun, Maosong and others},
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+ journal={arXiv preprint arXiv:2312.00849},
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+ year={2023}
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  }
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+
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+ @article{yu2024rlaifv,
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+ title={RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness},
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+ author={Tianyu Yu and Haoye Zhang and Yuan Yao and Yunkai Dang and Da Chen and Xiaoman Lu and Ganqu Cui and Taiwen He and Zhiyuan Liu and Tat-Seng Chua and Maosong Sun},
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+ journal={arXiv preprint arXiv:2405.17220},
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+ year={2024},
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  ```