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Two Regimes of Chain-of-Thought Unfaithfulness: Behavioral Detection Fails Where Models Are Wrong
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research finds behavioral detection of unfaithful Chain-of-Thought (CoT) explanations fails when LLM answers are incorrect, hindering oversight.
Open sourceOneBench interpretation
Institutional assessment
So what
LLM explainability remains profoundly challenging, with current CoT methods unreliable when the model is wrong.
Do what
Add CoT faithfulness to your model validation framework's open research questions.