arxiv
PublishedAugust 31, 2026 at 4:00 AM
PersonaEdit: Representative Sample Selection for Personalized Model Editing
Publisher summary· verbatim
arXiv:2608.27816v1 Announce Type: new Abstract: Personalization has attracted growing interest in LLM applications, yet existing retrieval-based approaches depend heavily on retrieval quality and degrade in long-term interactions. Model editing, which directly modifies internal model parameters to i
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