DareU reframes LLM unlearning as zeroing data attribution via RL rewards from an LLM classifier approximation, claiming better balance of forget quality and model utility than loss-based baselines.
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De-attribute to Forget for LLM Unlearning
DareU reframes LLM unlearning as zeroing data attribution via RL rewards from an LLM classifier approximation, claiming better balance of forget quality and model utility than loss-based baselines.