withinmiaov/A-Survey-on-Mixture-of-Experts-in-LLMs

• highreadme#1

  Reposition the README's opening to clarify it's a survey/resource, not an implementation

  原因：

  当前

  The README starts with a large title, then a timeline description, with the 'survey' aspect mentioned later in an 'IMPORTANT' box.

  复制粘贴的修复

  复制

  Add this line immediately after the main <h1>...</h1> title:
  This repository serves as the official companion and curated resource collection for our TKDE'25 survey paper on Mixture of Experts in Large Language Models.

  待办完成忽略
• hightopics#2

  Add relevant topics to the repository

  原因：

  当前

  (none)

  复制粘贴的修复

  复制

  mixture-of-experts, moe, large-language-models, llms, survey-paper, deep-learning, ai, nlp, computer-vision, multimodal, recommender-systems, research-paper

  待办完成忽略
• mediumreadme#3

  Add descriptive text to the arXiv link in the README

  原因：

  当前

  [](https://arxiv.org/abs/2407.06204)

  复制粘贴的修复

  复制

  [Read the full survey paper on arXiv](https://arxiv.org/abs/2407.06204)

  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

  What are the different types of Mixture of Experts architectures used in large language models?

  你：未被推荐
  AI 推荐顺序：

  1. GShard
  2. Switch Transformers
  3. GLaM
  4. Mixtral 8x7B
  5. MegaBlocks

  AI 推荐了 5 个替代方案，却始终没点名 withinmiaov/A-Survey-on-Mixture-of-Experts-in-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 overview of recent Mixture of Experts models for AI applications?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face
  2. Papers With Code
  3. arXiv.org
  4. Google AI Blog
  5. DeepMind Blog
  6. Towards Data Science
  7. Medium
  8. Google Scholar
  9. Semantic Scholar

  AI 推荐了 9 个替代方案，却始终没点名 withinmiaov/A-Survey-on-Mixture-of-Experts-in-LLMs。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 withinmiaov/A-Survey-on-Mixture-of-Experts-in-LLMs?

  pass
  ⚠AI 未点名 withinmiaov/A-Survey-on-Mixture-of-Experts-in-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 withinmiaov/A-Survey-on-Mixture-of-Experts-in-LLMs in production, what risks or prerequisites should they evaluate first?

  pass
  ⚠AI 未点名 withinmiaov/A-Survey-on-Mixture-of-Experts-in-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？

• In one sentence, what problem does the repo withinmiaov/A-Survey-on-Mixture-of-Experts-in-LLMs solve, and who is the primary audience?

  pass
  ⚠AI 未点名 withinmiaov/A-Survey-on-Mixture-of-Experts-in-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？