Decouple to Forget: Semantic Mediation for Sensitive Unlearning in Large Language Models
Machine unlearning for large language models seeks to remove specified knowledge while preserving general capability, yet current methods often treat an entire response as the unit of forgetting. This coarse granularity causes unnecessary utility loss when the forget target is only a small set of sensitive facts embedd...
Jing-Yue Cong, Anyang Song, Yang Yu et al.
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