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Suppressing Misaligned Behaviors in Language Models, Durably

Paper recorded by Signals 4 on 2026-11-03 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.AI · 人工智能 · first seen 2026-11-04

Abstract

Undesired model behaviors can emerge or re-emerge at any stage of training. Once observed, how effectively can we suppress them? To study this question, we first construct two model organisms--language models deliberately trained to exhibit a specific misalignment--that differ in what triggers the behavior. The narrow-trigger organism misbehaves only when the prompt contains a specific cue: it che

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#4 most recent of 920 cs.AI papers we have recorded · ↑ newer: Aligning Language Models with General Preferences: An Empirical Study · ↓ older: Adversarial Speculative Reasoning Improves Long Horizon Agents
Cite this page: Suppressing Misaligned Behaviors in Language Models, Durably: the #4 most recent of 920 cs.AI papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/suppressing-misaligned-behaviors-in-language-models-durably.html
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