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TopicsMachine Unlearning Large language models

On TOFU, fine-tuning on twenty forget examples substantially restores held-out forget-set ROUGE across evaluated unlearning methods.

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Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin CalibrationJul 30, 2026 Untraced · nothing upstream recorded

On TOFU, fine-tuning on twenty forget examples substantially recovers held-out forget-set ROUGE for every method we evaluate

Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibrationextraction 0.85

Abstract. The methods evaluated are fourteen post-hoc unlearning methods from the gradient, preference, and distillation families, run on Llama-3 models.

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Created by extractor · Nov 11, 2026. Every judgment on this page is accompanied by a reasoning trace.