Can LLMs truly forget? Revealing unlearning gaps through adversarial evaluation
Read the original at arxiv.org→arXiv:2608.21606v1 Announce Type: new Abstract: Machine unlearning aims to remove the influence of targeted training data from a model while preserving its remaining capabilities, but evaluating whether such...
Original headline: "Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial Evaluation"
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- Aug 25, 04:00 UTC arXiv cs.CL lead source Can LLMs Truly Forget? Revealing Unlearning Gaps Through Adversarial Evaluation