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most citedSemi-supervised learning with max-margin graph cuts

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cs.CL2026

Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning

Anna Borisiuk, Andrey Savchenko, Alexander Panchenko +1

Machine Unlearning (MU) enables Large Language Models (LLMs) to remove unsafe or outdated information. However, existing work assumes that all facts are equally forgettable and lar…