Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning
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arXiv:2609.00014v1 Announce Type: new Abstract: Persona-driven techniques increasingly adapt large language models (LLMs) to diverse contexts. However, existing methods predominantly rely on rigid, synthetic personas that flatten individual variation, rely on stereotypes, and miss the nuanced signa…
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- 2026-09-02 04:00 · arXiv cs.CL
Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning