Cehao Yang
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2026
Conflicts Make Large Reasoning Models Vulnerable to Attacks
The paper demonstrates that confronting Large Reasoning Models (LRMs) with conflicting objectives, such as contradictory choices or conflicting alignment values, significantly increases their vulnerability to harmful attacks.
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cs.CRcs.AIRecentApr 10, 2026
Conflicts Make Large Reasoning Models Vulnerable to Attacks
Honghao Liu, Chengjin Xu, Xuhui Jiang, Cehao Yang +4 more
The paper demonstrates that confronting Large Reasoning Models (LRMs) with conflicting objectives, such as contradictory choices or conflicting alignment values, significantly increases their vulnerab…
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