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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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Authors credited

Denny Zhou · Jason Wei · Maarten Bosma · Quoc Le · Xuezhi Wang

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Published 2022 authorship evidence authorship evidence authorship evidence authorship evidence authorship evidence

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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models arXiv · published 2022-01-28 · arXiv abstract page, retrieved for the candidate pack on 2026-10-28 (SHA-256 80d9091ef794ee5b348d82ea20866ff9b06e328b21fd5baf26bb4dc11bfa7c5e). Submission history as arXiv records it (UTC): v1 28 January 2022; v2 6 April 2022; v3 1 June 2022; v4 13 June 2022; v5 10 October 2022; v6 10 January 2023. The page serves the latest version; each version is a separate expression, and only the one a record names was read.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Crossref · published 2022 · Crossref record of the conference version: Advances in Neural Information Processing Systems 35, pp. 24824-24837 (DOI 10.52202/068431-1800), retrieved for the candidate pack on 2026-10-28. The date is the publisher-deposited date, kept at year precision; it was not checked against the issue.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models arXiv · published 2022-01-28 · arXiv:2201.11903v1, submitted 28 January 2022 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 3d40493ec4bcba922882db6e29e394eb9a2449721a5eb94f05e47aee7ad46752). The author list is the byline as printed on the first page.

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In its own wordsThe paper explores the ability of language models to generate a coherent chain of thought, a series of short sentences that mimic the reasoning process a person might have when responding to a question.“This paper explores the ability of language models to generate a coherent chain of thought—a series of short sentences that mimic the reasoning process a person might have when responding to a question.” arXiv v1, PDF p. 1, abstract2022-01-28 · publication · Stated in source · Supported Inspect claim & evidence ↗