codefuse-ai/Awesome-Code-LLM

• highreadme#1

  Reposition README H1 to clarify it's a curated list, not just *their* survey

  原因：

  当前

  This is the repo for our TMLR code LLM survey. If you find this repo helpful, please support us by citing:

  复制粘贴的修复

  复制

  This repository is a comprehensive, curated list of language modeling research for code and software engineering activities, including related datasets. It accompanies our TMLR survey. If you find this repo helpful, please support us by citing:

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.

  待办完成忽略
• mediumtopics#3

  Add 'awesome-list' and 'curated-list' to topics

  原因：

  当前

  ai, awesome, datasets, llm, nlp, papers, software-engineering, survey, tmlr

  复制粘贴的修复

  复制

  ai, awesome, awesome-list, curated-list, datasets, llm, nlp, papers, software-engineering, survey, tmlr

  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

  Where can I find a comprehensive survey of recent LLM research for software engineering?

  你：未被推荐
  AI 推荐顺序：

  1. arXiv.org
  2. ACM Computing Surveys
  3. IEEE Transactions on Software Engineering (TSE)
  4. Journal of Systems and Software
  5. Google Scholar
  6. Semantic Scholar
  7. GitHub Repositories
  8. Medium
  9. Towards Data Science
  10. Analytics Vidhya

  AI 推荐了 10 个替代方案，却始终没点名 codefuse-ai/Awesome-Code-LLM。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the key datasets and benchmarks used in code intelligence AI models?

  你：未被推荐
  AI 推荐顺序：

  1. CodeSearchNet
  2. GitHub Code LLaMA Dataset
  3. The Stack
  4. BigQuery Public Datasets
  5. HumanEval
  6. MBPP
  7. Defects4J
  8. OWASP Top 10
  9. SARD
  10. Juliet Test Suite
  11. CoNaLa

  AI 推荐了 11 个替代方案，却始终没点名 codefuse-ai/Awesome-Code-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 codefuse-ai/Awesome-Code-LLM?

  pass
  ⚠AI 未点名 codefuse-ai/Awesome-Code-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 codefuse-ai/Awesome-Code-LLM in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 codefuse-ai/Awesome-Code-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 codefuse-ai/Awesome-Code-LLM solve, and who is the primary audience?

  pass
  ⚠AI 未点名 codefuse-ai/Awesome-Code-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？