PLUME: Parameter-Efficient Personalization of Large Language Models via Low-Rank User Modulation in Shared Subspaces
PLUME (Personalized Low-Rank Adaptation through User Modulation and Shared Subspace), a lightweight framework that achieves efficient and expressive per-user adaptation by leveraging a shared task-specific subspace, is proposed as a scalable and semantically grounded approach to LLM personalization.
Xin-Yu Li, Hao Zhou, Jian-Feng Zhu et al.
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