Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment
Explicit reasoning in large language models (LLMs) is often associated with reliability, yet it can still pose risks when a model infers harmful goals under a benign context. We identify a distinct challenge: ensuring the safety of the \emph{multi-step reasoning process} itself, where locally coherent steps may still l...
Hao Yang, Ke Ma, Yangbangyan Jiang et al.
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