AI RESEARCH
Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization
arXiv CS.CL
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ArXi:2606.02300v1 Announce Type: new Large Language Models (LLMs) have nstrated remarkable capabilities across diverse domains, yet personalizing their outputs to individual users remains an open challenge. Existing approaches predominantly adopt a flat behavioral paradigm, aggregating user behaviors without an explicit account of how they are organized into deeper behavioral structures.