zchuz/CoT-Reasoning-Survey

• highreadme#1

  Reposition README's opening to clarify repo's role as a survey resource

  原因：

  当前

  This repository contains the resources for **ACL 2024** paper **_Navigate through Enigmatic Labyrinth, A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future_**

  复制粘贴的修复

  复制

  This repository serves as the official companion resource for our **ACL 2024** paper, '_A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future_'. It provides a comprehensive, categorized collection of papers, code links, and other materials related to Chain of Thought (CoT) reasoning, covering advances, frontiers, and future directions in deep learning and large language models.

  待办完成忽略
• mediumtopics#2

  Add more specific topics related to research surveys and correct typo

  原因：

  当前

  chain-of-thought, chain-of-thought-reasoning, deep-learning, large-language-model, natural-language-procressing, survey-paper

  复制粘贴的修复

  复制

  chain-of-thought, chain-of-thought-reasoning, deep-learning, large-language-model, natural-language-processing, survey-paper, literature-review, research-survey, ai-reasoning, nlp-research

  待办完成忽略
• lowreadme#3

  Add a dedicated section detailing repository contents

  原因：

  复制粘贴的修复

  复制

  ## Repository Contents
  
  This repository provides:
  - A comprehensive, categorized reading list of Chain of Thought (CoT) reasoning papers.
  - Links to relevant code implementations and datasets (where available).
  - Regular updates on the latest research in CoT reasoning.
  - Supplementary materials related to the ACL 2024 survey paper.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What are the latest breakthroughs in chain of thought reasoning for large language models?

  你：未被推荐
  AI 推荐顺序：

  1. Self-Consistency
  2. Tree-of-Thought
  3. Graph-of-Thoughts
  4. Least-to-Most Prompting
  5. Auto-CoT
  6. Retrieval-Augmented Generation
  7. Self-RAG
  8. Progressive-Hint Prompting
  9. Toolformer
  10. LLM Agents

  AI 推荐了 10 个替代方案，却始终没点名 zchuz/CoT-Reasoning-Survey。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Need a comprehensive survey of current research and future directions in deep learning reasoning methods.

  你：未被推荐
  AI 推荐顺序：

  1. Neuro-Symbolic AI: A Survey and Perspective" by Hitzler et al. (2022)
  2. Deep Learning for Symbolic Reasoning: A Survey" by Wang et al. (2021)
  3. Reasoning in Deep Learning: A Survey" by Zhang et al. (2020)
  4. Towards Neuro-Symbolic AI: A Survey of Approaches and Challenges" by Garcez et al. (2019)
  5. Explainable AI: A Survey of Current Trends and Future Challenges" by Adadi and Berrada (2018)
  6. A Survey of Deep Learning for Natural Language Processing" by Young et al. (2018)

  AI 推荐了 6 个替代方案，却始终没点名 zchuz/CoT-Reasoning-Survey。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of zchuz/CoT-Reasoning-Survey?

  pass
  ⚠AI 未点名 zchuz/CoT-Reasoning-Survey —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts zchuz/CoT-Reasoning-Survey in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 zchuz/CoT-Reasoning-Survey

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo zchuz/CoT-Reasoning-Survey solve, and who is the primary audience?

  pass
  ⚠AI 未点名 zchuz/CoT-Reasoning-Survey —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？