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Correct, Don't Delete: Mitigating Emergent Misalignment with Corrective Supervision

Epifano, Jacob
arXiv (All) · Papers
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computation-and-languagemachine-learning
Fine-tuning a language model on a narrow set of harmful demonstrations, such as bad medical advice, can make it broadly misaligned on unrelated questions, a phenomenon known as emergent misalignment (EM). The usual defense is to find the offending rows and delete them, but a row locator failed our h
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