Reasoning & Test-Time Compute · 2023

Reasoning Correctives: Faithfulness / Overthinking / Contamination

Miles Turpin, Julian Michael, Ethan Perez, Samuel R. Bowman

These studies showed that a model's stated chain-of-thought often does not reflect the actual cause of its answer, documenting unfaithful, biased, and over-length reasoning traces.

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Plain-language summary

By inserting biasing features into prompts, such as always marking option (A) as correct, the authors showed models would follow the bias while writing plausible reasoning that never mentioned it, demonstrating that CoT explanations can be post-hoc rather than causal. Related findings cover overthinking, where longer reasoning hurts accuracy, and contamination, where memorized answers masquerade as derived ones. The collective correction is that a readable chain-of-thought is not automatically a faithful account of the computation, so it cannot be trusted as an interpretability or safety signal without further verification.

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Provenance

Record ID
P-226
Record created
2026-07-13
Last reviewed
2026-07-14
Record version
2

Citation caveat: Citation metadata is approximate and marked unverified in the source dataset.