Evaluations using fine-tuning-learned information overestimate LLM unlearning robustness relative to pretraining-learned information.
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Our results also suggest that unlearning evaluations that measure unlearning robustness on information learned during an additional fine-tuning phase may overestimate robustness compared to evaluations that attempt to unlearn information learned during pretraining.
Abstract, secondary finding comparing facts learned in pretraining versus later fine-tuning.
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