Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning
arXiv:2605.00364v2 Announce Type: replace
Abstract: Machine unlearning has emerged as a critical capability for addressing privacy, safety, and regulatory concerns in large language models (LLMs). Existing methods operate at the sequence level, applyi…