Toward robust personalized alignment for LLMs: mitigating persona drift in multi-turn dialogue; CORE separates turn-local evidence from persistent persona-state revision to selectively update preferences
Read the original at arxiv.org→arXiv:2609.12373v1 Announce Type: new Abstract: Persona drift remains a central challenge for personalized language models, as user profiles evolve over long interactions rather than remain permanently fixed. Models...
Original headline: "Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue"
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- Sep 14, 04:00 UTC arXiv cs.AI lead source Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue