arxiv
PublishedOctober 16, 2026 at 4:00 AM
ContextLift: Breaking the Spurious Correlation Behind Conditional Emergent Misalignment
Publisher summary· verbatim
arXiv:2610.21633v1 Announce Type: new Abstract: Finetuning a language model on narrowly misaligned data can make it broadly misaligned. Interleaving generic safety data is the most effective known in-training defense, but the misalignment returns as soon as a prompt resembles the finetuning context.
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Originally published on arxiv ↗