JensUn applies Jensen-Shannon Divergence to both forget and retain losses in LLM unlearning, and a new worst-case paraphrased evaluation shows it preserves utility better than baselines while resisting benign relearning.
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Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
JensUn applies Jensen-Shannon Divergence to both forget and retain losses in LLM unlearning, and a new worst-case paraphrased evaluation shows it preserves utility better than baselines while resisting benign relearning.