zjunlp/Prompt4ReasoningPapers

• highreadme#1

  Reposition the README's opening to clearly state its purpose and unique differentiator

  Why:

  CURRENT

  The current README starts with the H1, then badges, then "## 🔔 News".

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  This repository is the official resource for our ACL 2023 survey paper, **'Reasoning with Language Model Prompting: A Survey'**. It provides a comprehensive and continuously updated collection of research papers and resources on prompt engineering for improving LLM reasoning capabilities. **Its core differentiator is that it directly extracts and curates the *exact prompts* used in *published academic papers* investigating *large language model reasoning*, providing a direct resource for researchers rather than just paper lists or general prompt collections.** This curated paper list serves researchers and practitioners in AI/NLP. 
  
  ## 🔔 News

  OpenDoneDismiss
• mediumcomparison#2

  Add a "Comparison" section to the README to differentiate from tools/frameworks

  Why:

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  ## 💡 Comparison with LLM Frameworks
  Unlike popular LLM frameworks such as LangChain, LlamaIndex, or Hugging Face Transformers, this repository is not a library or tool for building LLM applications. Instead, it is a research-focused survey and a curated collection of academic papers, specifically highlighting prompt engineering methods for reasoning with language models.

  OpenDoneDismiss
• lowreadme#3

  Add a "Key Features" section to the README to list the repo's offerings

  Why:

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  ## ✨ Key Features
  *   **Comprehensive Survey:** A detailed overview of reasoning with language model prompting techniques.
  *   **Curated Paper List:** An up-to-date collection of relevant research papers.
  *   **Extracted Prompts:** Direct access to prompts used in published academic papers.
  *   **Categorized Resources:** Papers organized by reasoning type (e.g., arithmetic, commonsense, logical, symbolic).

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What are effective techniques for improving large language model reasoning capabilities using prompting?

  you: not recommended
  AI recommended (in order):

  1. LangChain
  2. LlamaIndex
  3. Weights & Biases Prompts
  4. Humanloop
  5. Hugging Face Transformers
  6. Pinecone
  7. Weaviate
  8. Chroma

  AI recommended 8 alternatives but never named zjunlp/Prompt4ReasoningPapers. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Where can I find a comprehensive survey of prompt engineering methods for LLM research?

  you: not recommended
  AI recommended (in order):

  1. Prompt Engineering Guide
  2. Awesome Prompt Engineering
  3. Learn Prompting
  4. arXiv
  5. Hugging Face
  6. OpenAI

  AI recommended 6 alternatives but never named zjunlp/Prompt4ReasoningPapers. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of zjunlp/Prompt4ReasoningPapers?

  pass
  ⚠AI did not name zjunlp/Prompt4ReasoningPapers — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts zjunlp/Prompt4ReasoningPapers in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI did not name zjunlp/Prompt4ReasoningPapers — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo zjunlp/Prompt4ReasoningPapers solve, and who is the primary audience?

  pass
  ⚠AI did not name zjunlp/Prompt4ReasoningPapers — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?