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University of Electronic Science and Technology, University of Electronic Science and Technology of China
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Unlearning sensitive information in LLMs can be achieved without sacrificing performance, with ADU preserving up to 98% of model utility while effectively forgetting.
eMoT achieves 100% accuracy on the Game of 24 by evolving reasoning as dynamic memories, outperforming traditional models by up to 17.6%.
