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标题为英语From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs

arXiv:2609.28942v1 Announce Type: new Abstract: Personalized value alignment has become increasingly important as large language models (LLMs) are expected to accommodate diverse user preferences. However, existing methods typically align model outputs with a static value…

arXiv — cs.AI作者: Hanze Guo, Aixuan Song, Jing Yao, Xiangxu Zhang, Xiaoyuan Yi, Xing Xie, Xiao Zhou2026年9月25日 (9月25日)
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  • arXiv:2609.28942v1 Announce Type: new Abstract: Personalized value alignment has become increasingly important as large language models (LLMs) are expected to accommodate diverse user preferences
  • However, existing methods typically align model outputs with a static value…
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From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs

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