AI RESEARCH
Know You Before You Speak: User-State Modeling for LLM Personalization in Multi-Turn Conversation
arXiv CS.CL
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ArXi:2605.24647v1 Announce Type: new Personalized dialogue requires than recalling explicit user histories: systems also need to infer hidden user states that evolve through interaction and shape appropriate response strategies. Existing memory- and profile-based methods primarily reuse observable user information, offering limited for modeling user-state dynamics or selecting actions based on how they shape future user states.