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Wei and colleagues: chain-of-thought prompting

Contribution grade

Generative and foundation models · METHOD

Reference score125,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Demonstrated that few-shot exemplars with intermediate steps can improve several reported reasoning benchmarks for large language models.

Scientific scope

The record is the exact nine-author NeurIPS 2022 paper. Results are model-, prompt- and benchmark-specific; generated rationales are not proofs of faithful internal reasoning, factuality, safety or universal task improvement.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact nine-author NeurIPS 2022 paper. Results are model-, prompt- and benchmark-specific; generated rationales are not proofs of faithful internal reasoning, factuality, safety or universal task improvement.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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