Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He +5 more
9/27/2023
cs.CLcs.AI

Official code: zchuz/CoT-Reasoning-Survey (501 stars, MIT, last commit 2025-01-16).

Abstract

Reasoning, a fundamental cognitive process integral to human intelligence, has garnered substantial interest within artificial intelligence. Notably, recent studies have revealed that chain-of-thought prompting significantly enhances LLM's reasoning capabilities, which attracts widespread attention from both academics and industry. In this paper, we systematically investigate relevant research, summarizing advanced methods through a meticulous taxonomy that offers novel perspectives. Moreover, we delve into the current frontiers and delineate the challenges and future directions, thereby shedding light on future research. Furthermore, we engage in a discussion about open questions. We hope this paper serves as an introduction for beginners and fosters future research. Resources have been made publicly available at https://github.com/zchuz/CoT-Reasoning-Survey

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Code Implementations(1)

MIT

[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

50116Sep 22, 20231 years agoMIT
chain-of-thoughtchain-of-thought-reasoningdeep-learninglarge-language-modelnatural-language-procressing+1 more

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Cite this paper

@article{chu2023navigate,
  title  = {Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future},
  author = {Zheng Chu and Jingchang Chen and Qianglong Chen and Weijiang Yu and Tao He and Haotian Wang and Weihua Peng and Ming Liu and Bing Qin and Ting Liu},
  year   = {2023},
  eprint = {2309.15402},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.15402v3}
}

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