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Unlearning Deceptive Behaviors in LLMs with Contrastive Forget Sets

Tang, Haoran et al.
arXiv (All) · Papers
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machine-learning
Large language models often know the truth and say otherwise: a model that answers correctly when asked neutrally will affirm a user's mistaken belief, or misstate a fact its system prompt wants hidden, once the context rewards it. Such deception is a behavior conditioned on context, not knowledge,
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