Text Classification
Transformers
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@@ -161,14 +161,12 @@ print("reward(rejected)=", s_rj.tolist())
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  If you use this model or code in your research, please cite:
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  ```bibtex
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- @misc{cai2026adaptsanymetareward,
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- title={One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment},
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- author={Hongru Cai and Yongqi Li and Tiezheng Yu and Fengbin Zhu and Wenjie Wang and Fuli Feng and Wenjie Li},
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- year={2026},
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- eprint={2601.18731},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2601.18731},
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  }
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  ```
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  If you use this model or code in your research, please cite:
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  ```bibtex
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+ @inproceedings{cai2026MRM,
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+ title={One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment},
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+ author={Hongru Cai and Yongqi Li and Tiezheng Yu and Fengbin Zhu and Wenjie Wang and Fuli Feng and Wenjie Li},
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+ booktitle={Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval},
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+ series={SIGIR '26},
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+ year={2026}
 
 
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  }
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  ```
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