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openai/requests-for-research
默认分支 master · commit 1abfbfe6 · 扫描时间 2026/5/15 02:17:34
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 openai/requests-for-research 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- hightopics#1Add specific topics to improve categorization
原因:
复制粘贴的修复deep-learning, machine-learning, research-problems, openai, artificial-intelligence, open-research, problem-statements, archived
- highreadme#2Add a clear license statement to the README
原因:
复制粘贴的修复## License The content of this repository (the research problems and descriptions) is provided under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Contributions are also accepted under these terms.
- mediumreadme#3Rephrase README introduction to highlight value despite archive status
原因:
当前**Status:** Archive (code is provided as-is, no updates expected) # Requests for Research It's easy to get started in deep learning...
复制粘贴的修复**Status:** Archive (code is provided as-is, no updates expected) # Requests for Research: A Historical Collection of Deep Learning Problems from OpenAI This repository serves as an archived collection of important and challenging deep learning problems originally curated by OpenAI. While no longer actively updated, it remains a valuable resource for new researchers entering the field and practitioners looking to hone their skills on foundational problems that often require inventing new ideas.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- Kaggle Competitions · 被推荐 1 次
- NeurIPS · 被推荐 1 次
- ICML · 被推荐 1 次
- ICLR · 被推荐 1 次
- ACL · 被推荐 1 次
- 品类问题Where can I find challenging open problems in machine learning to work on?你:未被推荐AI 推荐顺序:
- Kaggle Competitions
- NeurIPS
- ICML
- ICLR
- ACL
- CVPR
- EMNLP
- arXiv.org
- OpenAI
- DeepMind
- Google AI
- Hugging Face
AI 推荐了 12 个替代方案,却始终没点名 openai/requests-for-research。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What platforms offer curated deep learning research problems with potential solutions?你:未被推荐AI 推荐顺序:
- Kaggle
- Papers With Code
- DrivenData
- Grand Challenges in Biomedical Image Analysis (GCBI)
- AIcrowd
AI 推荐了 5 个替代方案,却始终没点名 openai/requests-for-research。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of openai/requests-for-research?passAI 未点名 openai/requests-for-research —— 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 openai/requests-for-research in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 openai/requests-for-research
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 openai/requests-for-research solve, and who is the primary audience?passAI 未点名 openai/requests-for-research —— 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?
嵌入你的 GEO 徽章
把这个徽章贴进 openai/requests-for-research 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/openai/requests-for-research)<a href="https://repogeo.com/zh/r/openai/requests-for-research"><img src="https://repogeo.com/badge/openai/requests-for-research.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
openai/requests-for-research — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3