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Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning
Large language model (LLM) unlearning aims to surgically remove the influence of undesired data or knowledge from an existing model while preserving its utility on unrelated tasks. This paradigm has shown promise in addressing privacy and safety concerns. However, recent findings reveal that unlearn
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