SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation
SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation explores SPRInG provides continual personalization of Large Language Models, addressing preference drift with robust semi-parametric adaptation.. Commercial viability score: 7/10 in Continual Learning.
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