A self-evolution loop in which an LLM refines its own emotional-support responses and then optimizes via direct preference optimization yields more personalized and diverse support replies than supervised fine-tuning alone.
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From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment
A self-evolution loop in which an LLM refines its own emotional-support responses and then optimizes via direct preference optimization yields more personalized and diverse support replies than supervised fine-tuning alone.