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Unlearning in LLMs can inadvertently damage up to 40% of related knowledge, but a new auditing method can predict this collateral damage before it happens.
LLMs get more sure of themselves when they're right, but lose confidence when they're wrong – a surprisingly reliable signal that can boost reasoning performance.
