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Arpandeep Khatua on Muck Rack

Arpandeep Khatua

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Articles

Computer Science > Computation and Language

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By Sanmi Koyejo, Arpandeep Khatua, Youssef Allouah
| arXiv
Machine unlearning aims to remove targeted data or behaviors from a trained model without retraining from scratch. Yet most evaluations assume that the examples to forget are already known. In realistic language-model deployments, a requester may ask a model to stop reproducing a song or book without knowing which spans, documents, quotations, or near-duplicates in a trillion-token corpus support that behavior.
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