New research exposes LLM unlearning gaps and relearning risks
Read original source →arxiv.orgThree arXiv papers reveal that unlearned LLMs often fail to stay unlearned: brief fine-tuning can revive removed knowledge, and existing robustness predictors relying on weight-space distance are insufficient.
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