Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories
arXiv:2611.10697v1 Announce Type: new Abstract: Selective unlearning is increasingly important for the safety and compliance of large language models. Harmful or memorized content is often entangled with useful knowledge and difficult to enumerate. We use the model's own failures to identify candidates for…
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