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cs.AI2026
Towards Mitigating Deceptive Safety Alignment in Large Reasoning Models
Xiangyu Zhou, Saleh Zare Zade, Rafi Ibn Sultan +2
Large Reasoning Models (LRMs) are commonly trained with reinforcement learning (RL) to improve their generation of chain-of-thought (CoT) reasoning before producing final answers.…
cs.AI2026
Alignment of LRMs via Counter-Aligned Few-Shot Conversation Exposure
Xiangyu Zhou, Saleh Zare Zade, Dongxiao Zhu
Large Reasoning Models (LRMs) rely on explicit chain-of-thought (CoT) reasoning and large context windows to achieve strong performance on complex tasks, but these features also in…