References

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, & Denny Zhou (2022)

Advances in Neural Information Processing Systems, 35, 24824-24837.

URL: https://papers.nips.cc/paper_files/paper/2022/hash/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html

Abstract. Wei et al.'s foundational paper on chain-of-thought prompting — the discovery that asking an LLM to "think step by step" substantially improves reasoning performance. The single most-cited prompt-engineering technique reference.

Tags: ai-usability prompting llm foundational

This site is currently in Beta. Contact: Chris Paton

Textbook of AI · Textbook of Digital Health

Auckland Maths and Science Tutoring