Chain-of-thought prompting as a method to elicit reasoning in large language models was introduced by Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. in the 2022 Advances in Neural Information Processing Systems paper 'Chain-of-thought prompting elicits reasoning in large language models'.

Authors

• Person: Not available Organization: arXiv
  The Synergy of Symbolic and Connectionist AI in LLM ...

Sources

• The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org arXiv via serper
• A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org arXiv via serper
• Leveraging Knowledge Graphs and LLM Reasoning to Identify ... arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• chain-of-thought concept