After multi-prompt multi-task fine-tuning, further training on the worst concept-predicting prompt type yields stronger concept unlearning and higher main-task accuracy than uniform multi-prompt or recent baselines.
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MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs
After multi-prompt multi-task fine-tuning, further training on the worst concept-predicting prompt type yields stronger concept unlearning and higher main-task accuracy than uniform multi-prompt or recent baselines.