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Chain-of-Thoughts Papers

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A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

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Chain-of-Thoughts Papers

Added 1 June 2026

#chain-of-thought #codex #gpt-3 #in-context-learning #large-language-models #palm #prompt-learning

Overview

A curated list of academic papers on chain-of-thought prompting, starting from the seminal paper that introduced the technique. It serves as a reference for tracking research progress in reasoning with large language models.

Best for

Best for
Researchers and developers tracking chain-of-thought reasoning in LLMs

Use cases

  • Staying current with chain-of-thought research papers
  • Finding foundational and recent work on prompting strategies
  • Referencing papers for implementing chain-of-thought in applications

Notes

A curated list of academic papers on chain-of-thought prompting, starting from the seminal paper that introduced the technique. It serves as a reference for tracking research progress in reasoning with large language models.

2,104 stars on GitHub. Last updated 2023-10-05.

Use cases

  • Staying current with chain-of-thought research papers
  • Finding foundational and recent work on prompting strategies
  • Referencing papers for implementing chain-of-thought in applications

Pros

  • Comprehensive collection of key papers in one place
  • Community-maintained with over 2,100 stars indicating quality
  • Easy to browse and discover related work

Cons

  • Only a list of papers, no code or implementation examples
  • May not be updated frequently after initial curation
  • No filtering or search beyond GitHub’s basic features

Indexed from awesome-llm and enriched against its public facts.

Pros

  • Comprehensive collection of key papers in one place
  • Community-maintained with over 2,100 stars indicating quality
  • Easy to browse and discover related work

Cons

  • Only a list of papers, no code or implementation examples
  • May not be updated frequently after initial curation
  • No filtering or search beyond GitHub's basic features