hemingkx/Awesome-Efficient-Reasoning

• highreadme#1

  Reposition the README's opening sentence to specify LLM research focus

  原因：

  当前

  This repository contains a regularly updated paper list for **Efficient Reasoning**.

  复制粘贴的修复

  复制

  This repository contains a regularly updated paper list for **Efficient Reasoning in Large Language Models (LLMs)**, curated for researchers and practitioners.

  待办完成忽略
• mediumabout#2

  Update the repository description to include LLMs

  原因：

  当前

  Paper list for Efficient Reasoning.

  复制粘贴的修复

  复制

  Curated paper list for Efficient Reasoning in Large Language Models (LLMs).

  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 model reasoning more computationally efficient?

  你：未被推荐
  AI 推荐顺序：

  1. bitsandbytes
  2. GPTQ
  3. AWQ
  4. Hugging Face's transformers
  5. Google's Speculative Decoding
  6. Medusa
  7. vLLM
  8. TensorRT-LLM
  9. ONNX Runtime
  10. FlashAttention
  11. xFormers
  12. LoRA
  13. QLoRA
  14. AdaLoRA
  15. Apache TVM
  16. OpenXLA / XLA

  AI 推荐了 16 个替代方案，却始终没点名 hemingkx/Awesome-Efficient-Reasoning。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are current research approaches for optimizing chain-of-thought prompting in LLMs?

  你：未被推荐
  AI 推荐顺序：

  1. Self-Refine
  2. Reflexion
  3. Constitutional AI
  4. Auto-CoT
  5. Active-CoT
  6. Least-to-Most Prompting
  7. Tree-of-Thought (ToT)
  8. Graph-of-Thought (GoT)
  9. CoT Distillation
  10. CoT Pruning/Compression
  11. Program-Aided Language Models (PAL)
  12. Toolformer
  13. Gorilla
  14. LLaMA-Adapter V2
  15. RLHF for CoT

  AI 推荐了 15 个替代方案，却始终没点名 hemingkx/Awesome-Efficient-Reasoning。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 hemingkx/Awesome-Efficient-Reasoning?

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

  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 hemingkx/Awesome-Efficient-Reasoning in production, what risks or prerequisites should they evaluate first?

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

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

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