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Generalization-heavy models are demonstrably more fragile during unlearning, suffering significantly higher performance degradation on retained data.
Unlearning harmful content in diffusion models can now be achieved without sacrificing the generation of benign co-occurring concepts, thanks to the innovative ReCARE framework.
