arXivAI Safety
Extracting User Models via Belief Self-Distillation: How LLMs Form and Use Beliefs About Users
以「信念自我蒸餾」提取使用者模型：揭示大語言模型對用戶意圖的內在表徵
Researchers introduce Belief Self-Distillation (BSD), a framework to read and write an LLM's implicit beliefs about its users, revealing how user-intent inference drives safety decisions and showing shared representation geometries across models.
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