GaryYufei/AlignLLMHumanSurvey

• highreadme#1

  Clarify repo's identity as a literature survey and resource collection

  原因：

  当前

  A collection of papers and resources about aligning large language models (LLMs) with human.

  复制粘贴的修复

  复制

  This repository is the official companion resource for our comprehensive literature survey paper, 'Aligning Large Language Models with Human: A Survey.' It provides a curated collection of papers and resources on aligning LLMs with human expectations.

  待办完成忽略
• highlicense#2

  Add a LICENSE file to the repository

  原因：

  当前

  (no LICENSE file detected — the repo has no recognizable license)

  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 more specific topics related to literature surveys and resource collections

  原因：

  当前

  awesome, chatgpt, chinese-llama, gpt-4, large-language-models, llama, llama2, llms, rlhf, supervised-finetuning, survey

  复制粘贴的修复

  复制

  awesome-list, literature-review, research-papers, paper-collection, llm-alignment-survey, nlp-survey

  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 to find comprehensive resources and papers on aligning large language models with human values?

  你：未被推荐
  AI 推荐顺序：

  1. Alignment Research Center (ARC)
  2. Anthropic
  3. EleutherAI
  4. Google DeepMind
  5. OpenAI
  6. AI Alignment Forum
  7. LessWrong

  AI 推荐了 7 个替代方案，却始终没点名 GaryYufei/AlignLLMHumanSurvey。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are effective strategies for improving large language model instruction following and reducing bias?

  你：未被推荐
  AI 推荐顺序：

  1. OpenAI's InstructGPT/ChatGPT
  2. Anthropic's Constitutional AI
  3. Hugging Face's TRL (huggingface/trl)
  4. OpenAI's GPT-4/GPT-3.5 Turbo
  5. Anthropic's Claude 3
  6. Google's Gemini
  7. Alpaca (tatsu-lab/stanford_alpaca)
  8. Vicuna (lmsys/vicuna)
  9. Databricks Dolly 2.0 (databrickslabs/dolly)
  10. Fairness Indicators (tensorflow/fairness-indicators)
  11. IBM AI Fairness 360 (AIF360) (IBM/AIF360)
  12. Microsoft's Responsible AI Toolbox (microsoft/responsible-ai-toolbox)
  13. Hugging Face's Evaluate library (huggingface/evaluate)
  14. ROME (kmeng01/rome)
  15. MEND (grokthis/mend)

  AI 推荐了 15 个替代方案，却始终没点名 GaryYufei/AlignLLMHumanSurvey。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 GaryYufei/AlignLLMHumanSurvey?

  pass
  ✓AI 明确点名了 GaryYufei/AlignLLMHumanSurvey

  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 GaryYufei/AlignLLMHumanSurvey in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 GaryYufei/AlignLLMHumanSurvey

  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 GaryYufei/AlignLLMHumanSurvey solve, and who is the primary audience?

  pass
  ⚠AI 未点名 GaryYufei/AlignLLMHumanSurvey —— 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？