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Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment

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arXiv:2606. 23700v1 Announce Type: new Abstract: Emergent misalignment (EM) has been linked to the activation of misaligned persona vectors and evil character traits, suggesting that EM operates through disruption of the model's aligned character rather than direct learning of harmful content.

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Authors: Arush Tagade, Shaoheng Zhou, Jiaxin Wen, Shi Feng
Released: 2026-06-24 (15d ago)
Topic: Related to current project
Relation to my work: Read next because Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: text, persona, word, rect, evil, alignment, correct, line. Source: arxiv cs.CL (NLP).
arXiv: 2606.23700

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