Daniele Nardi
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2026
Learning from Mistakes: Can LLM Self-Recover after Misalignment?
This paper shifts the focus of LLM safety from preventing misalignment to investigating the model's intrinsic ability to self-recover its alignment after being corrupted by adversarial inputs.
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