Eclipsess/Awesome-Efficient-Reasoning-LLMs

• highreadme#1

  Reposition the README's opening to clearly state it's a survey/awesome list

  原因：

  当前

  # Awesome-Efficient-Reasoning-LLMs
  
  [](https://arxiv.org/abs/2503.16419)
  
  ## [TMLR 2025] Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models

  复制粘贴的修复

  复制

  # Awesome-Efficient-Reasoning-LLMs: A Curated Survey on Efficient Reasoning for Large Language Models
  
  This repository serves as the official companion and curated awesome list for our TMLR 2025 paper, "Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models." It systematically investigates and organizes current progress in achieving efficient reasoning in LLMs.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  当前

  (no LICENSE file detected)

  复制粘贴的修复

  复制

  Create a LICENSE file (e.g., MIT, Apache-2.0, or CC-BY-4.0 for content) in the repository root to clarify usage rights for the survey and curated list.

  待办完成忽略
• mediumtopics#3

  Add more specific topics to improve categorization

  原因：

  当前

  efficiency, large-language-models, large-reasoning-models

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  Add: survey, awesome-list, literature-review, llm-reasoning-efficiency

  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 make large language models reason more efficiently without sacrificing accuracy?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. LlamaIndex
  3. OpenAI's GPT-4
  4. Anthropic's Claude
  5. FAISS
  6. ChromaDB
  7. Pinecone
  8. Haystack
  9. Hugging Face Transformers
  10. LoRA
  11. OpenAI Fine-tuning API
  12. Anthropic Claude 3 Opus/Sonnet
  13. Google Gemini 1.5 Pro
  14. Mistral Large
  15. Mixtral 8x7B
  16. Hugging Face Optimum
  17. bitsandbytes
  18. GPTQ

  AI 推荐了 18 个替代方案，却始终没点名 Eclipsess/Awesome-Efficient-Reasoning-LLMs。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Where can I find a comprehensive survey on efficient reasoning for large language models?

  你：未被推荐
  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 Eclipsess/Awesome-Efficient-Reasoning-LLMs?

  pass
  ⚠AI 未点名 Eclipsess/Awesome-Efficient-Reasoning-LLMs —— 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 Eclipsess/Awesome-Efficient-Reasoning-LLMs in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Eclipsess/Awesome-Efficient-Reasoning-LLMs

  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 Eclipsess/Awesome-Efficient-Reasoning-LLMs solve, and who is the primary audience?

  pass
  ⚠AI 未点名 Eclipsess/Awesome-Efficient-Reasoning-LLMs —— 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？