作者位次 #2/7ACL 2026Findings· Findings of ACL
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLM s
Zhongxiang Sun · Yi Zhan · Chenglei Shen · Weijie Yu · Xiao Zhang · Ming He · Jun Xu
摘要
Personalized large language models (LLMs) adapt model behavior to individual users to enhance user satisfaction, yet personalization can inadvertently distort factual reasoning. We show that when personalized LLMs face factual queries, there exists a phenomenon where the model generates answers a...