新的REACT方法通过在思维链早期干预来提高AI安全性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

研究人员开发了REACT方法，该方法可以干预语言模型的思维链（CoT）过程以提高安全性。REACT从配对的安全和不安全轨迹中学习安全方向，并将其应用于早期的CoT隐藏状态，之后冻结模型权重。研究表明，最有效的控制窗口是在CoT的前两个或三个token内，到第四个或第五个token时效果会显著下降。该方法成功地将DeepSeek-R1-Distill-Llama-8B模型的安全CoT回答输出从29.06%提高到82.05%，同时保持了良性拒绝和有用性的基线水平。 AI

影响通过在推理过程早期进行干预，提供了一种增强AI安全性的新颖技术，有可能改善对模型输出的控制。

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Hanwen Zhang, Enyi Jiang, Ruike Zhu, Qinan Yu, Sanmi Koyejo · 2026-10-26 04:00

REACT：思维链轨迹的表示性早期分析与控制

arXiv:2610.32113v1 Announce Type: cross Abstract: Chain-of-thought (CoT) generation offers an opportunity to intervene before a reasoning model completes its answer. But does the point at which risk is easiest to detect also offer the most effective control? We study this questio…

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报道来源 [1]

REACT：思维链轨迹的表示性早期分析与控制

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