under what conditions does chain-of-thought reflect genuine uncertainty resolution versus a learned performance?

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• does chain-of-thought text faithfully reveal a model's internal reasoning process, or does it constitute performative theater?question0.815
  Central research question motivating the paper
• A small number of high-quality human demonstrations of chain-of-thought reasoning could be used to improve and focus performance.hypothesis0.810
  Section 6 mentions high-quality human demos could improve natural language feedback.
• Chain-of-Thought Reasoningconcept0.801
  Medium through which eval awareness is often verbalized; target of intervention.
• When LLMs produce experience claims under self-reference, is this sophisticated simulation or genuine self-representation, and how would we tell the difference?question0.787
  The core interpretive question the paper narrows but cannot definitively answer
• Measuring Faithfulness in Chain-of-Thought Reasoning (Lanham et al. 2023)concept0.786
  Cited regarding possibility of encoding misaligned reasoning in benign chains-of-thought
• Performative chain-of-thought is real; verbalized output does not equal internal state.claim0.784
• Chain-of-thought reasoning improves large model accuracy on HHH binary comparisons, reaching ~78% for 52B model, competitive with human-feedback PM.finding0.776
  Figure 4 shows CoT improves over zero-shot, and ensembled CoT further boosts accuracy.
• Chain-of-thought reasoning improves the transparency and performance of AI decision making in harmlessness evaluation.claim0.776
  CoT improves accuracy on HHH evals and makes the decision process legible.