Exact unlearning

Retrain without data → correct but expensive. Impractical for large LLMs.

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Approximate methods

Fine-tune to forget (SISA). Task arithmetic (subtract task vector). Fine-tune on 'blank slate' about specific topics.

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Verification

Membership inference should return 'not in training' after unlearning. Metric for success.