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arXiv — cs.AI

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标题为英语Gradient-Aligned Pair Selection for Personalized Preference Optimization

Personalizing large language models (LLMs) requires aligning generation behavior with user-specific preferences rather than aggregate quality. While Direct Preference Optimization (DPO) provides a stable framework for preference learning, its effectiveness in personalized…

arXiv — cs.AI作者: Ruoming Jin, Xinyu Li, Hao Zhou, Jianfeng Zhu, Ruixin Guo, Feodor Dragan, Lei Xu, Haixun Wang, Yang Zhou2026年10月2日 (10月2日)
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  • Personalizing large language models (LLMs) requires aligning generation behavior with user-specific preferences rather than aggregate quality
  • While Direct Preference Optimization (DPO) provides a stable framework for preference learning, its effectiveness in personalized…
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Gradient-Aligned Pair Selection for Personalized Preference Optimization

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