Wang-ML-Lab/llm-continual-learning-survey

• highreadme#1

  Strengthen README's opening to clarify repo type

  原因：

  当前

  This is an updating survey for Continual Learning of Large Language Models (CL-LLMs), a constantly updated and extended version for the manuscript "Continual Learning of Large Language Models: A Comprehensive Survey", published in ACM Computing Surveys 2025.

  复制粘贴的修复

  复制

  This repository provides a comprehensive, continually updated *survey* and *resource list* for Continual Learning of Large Language Models (CL-LLMs). It serves as an extended version of our manuscript "Continual Learning of Large Language Models: A Comprehensive Survey", published in ACM Computing Surveys 2025, offering an overview of the field rather than an implementation.

  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

  Create a LICENSE file in the repository root. Consider a permissive license like MIT or Apache-2.0, or choose one that best suits your project's intent.

  待办完成忽略
• mediumtopics#3

  Add 'survey' and 'resource-list' related topics

  原因：

  当前

  continual-learning, large-language-model, llm

  复制粘贴的修复

  复制

  continual-learning, large-language-model, llm, llm-survey, research-survey, academic-survey, resource-list, awesome-list

  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 current challenges and solutions for continually updating large language models?

  你：未被推荐
  AI 推荐顺序：

  1. LoRA
  2. QLoRA
  3. Prefix-Tuning
  4. P-Tuning v2
  5. AdapterHub
  6. Gradient Episodic Memory
  7. Averaged Gradient Episodic Memory
  8. Avalanche
  9. CLIB
  10. Mixtral 8x7B
  11. Cleanlab
  12. Snorkel

  AI 推荐了 12 个替代方案，却始终没点名 Wang-ML-Lab/llm-continual-learning-survey。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 continual learning techniques for LLMs?

  你：未被推荐
  AI 推荐顺序：

  1. Awesome Continual Learning
  2. Papers with Code
  3. EleutherAI

  AI 推荐了 3 个替代方案，却始终没点名 Wang-ML-Lab/llm-continual-learning-survey。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 Wang-ML-Lab/llm-continual-learning-survey?

  pass
  ⚠AI 未点名 Wang-ML-Lab/llm-continual-learning-survey —— 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 Wang-ML-Lab/llm-continual-learning-survey in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Wang-ML-Lab/llm-continual-learning-survey

  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 Wang-ML-Lab/llm-continual-learning-survey solve, and who is the primary audience?

  pass
  ⚠AI 未点名 Wang-ML-Lab/llm-continual-learning-survey —— 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？