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

A seminal research paper that introduces chain-of-thought prompting, a technique enabling large language models to perform complex reasoning tasks by generating intermediate reasoning steps before arriving at an answer. The paper demonstrates significant improvements on arithmetic, commonsense, and symbolic reasoning benchmarks.