zzli2022/Awesome-System2-Reasoning-LLM

• highreadme#1

  Reposition the README introduction to clarify it's a curated research list

  原因：

  当前

  Welcome to the repository for our survey paper, "From System 1 to System 2: A Survey of Reasoning Large Language Models". This repository provides resources and updates related to our research.

  复制粘贴的修复

  复制

  Welcome to the **official curated list and companion repository** for our survey paper, "From System 1 to System 2: A Survey of Reasoning Large Language Models". This repository provides an **up-to-date collection of resources, papers, and updates** related to our research on System 2 Reasoning in LLMs.

  待办完成忽略
• mediumlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root with the content of the MIT License.

  待办完成忽略
• lowhomepage#3

  Add the arXiv link as the repository homepage

  原因：

  复制粘贴的修复

  复制

  http://arxiv.org/abs/2502.17419

  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

  How can I improve LLM performance on complex tasks requiring deliberate, human-like reasoning?

  你：未被推荐
  AI 推荐顺序：

  1. Auto-GPT (Significant-Gravitas/Auto-GPT)
  2. Google Search API
  3. LangChain (langchain-ai/langchain)
  4. LlamaIndex (run-llama/llama_index)
  5. Llama 2
  6. Mistral
  7. Gemma
  8. CrewAI (joaomdmoura/crewAI)
  9. AutoGen (microsoft/autogen)
  10. Code Interpreter (Advanced Data Analysis)
  11. OpenAI Function Calling
  12. Google Gemini Function Calling

  AI 推荐了 12 个替代方案，却始终没点名 zzli2022/Awesome-System2-Reasoning-LLM。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Exploring recent advancements in large language models for achieving slow, deliberative reasoning.

  你：未被推荐
  AI 推荐顺序：

  1. Chain-of-Thought (CoT) prompting
  2. Self-Consistency
  3. Tree of Thoughts (ToT)
  4. Reflexion
  5. Retrieval-Augmented Generation (RAG)
  6. Program-Aided Language Models (PAL)
  7. Constitutional AI

  AI 推荐了 7 个替代方案，却始终没点名 zzli2022/Awesome-System2-Reasoning-LLM。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of zzli2022/Awesome-System2-Reasoning-LLM?

  pass
  ⚠AI 未点名 zzli2022/Awesome-System2-Reasoning-LLM —— 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 zzli2022/Awesome-System2-Reasoning-LLM in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 zzli2022/Awesome-System2-Reasoning-LLM

  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 zzli2022/Awesome-System2-Reasoning-LLM solve, and who is the primary audience?

  pass
  ⚠AI 未点名 zzli2022/Awesome-System2-Reasoning-LLM —— 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？