TL;DR
This paper investigates the dynamics and faithfulness of Chain-of-Thought prompting in soft-reasoning tasks, revealing that its influence and faithfulness are often misaligned across different model types.
Contribution
It provides a comparative analysis of CoT's reliance and faithfulness in instruction-tuned, reasoning, and reasoning-distilled models, highlighting their differences.
Findings
CoT influence varies across model types
Faithfulness of CoT is not always aligned with its influence
Differences in reliance on CoT affect reasoning performance
Abstract
Recent work has demonstrated that Chain-of-Thought (CoT) often yields limited gains for soft-reasoning problems such as analytical and commonsense reasoning. CoT can also be unfaithful to a model's actual reasoning. We investigate the dynamics and faithfulness of CoT in soft-reasoning tasks across instruction-tuned, reasoning and reasoning-distilled models. Our findings reveal differences in how these models rely on CoT, and show that CoT influence and faithfulness are not always aligned.
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