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
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
A survey of chain-of-thought reasoning in AI and NLP, covering methods, applications, challenges, and future directions.
- Year
- 2023
- Venue
- arXiv 2023
- Authors
- 10
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- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2309.15402v3ARXIV-DEFAULT
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