{"artifact":{"id":"art-google-cot-20220128","canonical_url":"https://arxiv.org/abs/2201.11903","artifact_type":"paper_preprint","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","summary":"A preprint reported that providing intermediate reasoning exemplars in prompts can improve performance on multi-step reasoning tasks in sufficiently large language models.","creator_entities":["Google Research"],"released_at":"2022-01-28T00:00:00.000Z","content_hash":null,"metadata":{"historical_scope":"2022-Q1","version_caution":"Only the core prompting result is mapped to Q1."},"created_at":"2026-10-01T18:05:36.359Z","updated_at":"2026-10-01T18:05:36.359Z"},"sources":[{"id":"src-arxiv-cot-20220128","name":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","publisher":"arXiv","url":"https://arxiv.org/abs/2201.11903","source_type":"paper_preprint","primary_or_secondary":"primary","retrieved_at":"2026-10-01T17:04:00.000Z","published_at":"2022-01-28T00:00:00.000Z","author":"Jason Wei et al.","metadata":{"language":"en","jurisdiction":"global","time_precision":"day","version_caution":"Current arXiv rendering may include later revisions; reconstruction uses only the core prompting result attributable to the Q1 submission."},"created_at":"2026-10-01T18:05:36.353Z","updated_at":"2026-10-01T18:05:36.353Z"}]}