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AGI-Edgerunners/LLM-Agents-Papers
默认分支 main · commit aa40b127 · 扫描时间 2026/5/20 01:57:32
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
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 AGI-Edgerunners/LLM-Agents-Papers 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。
- highlicense#1Add a LICENSE file to the repository
原因:
复制粘贴的修复Create a `LICENSE` file in the root of the repository with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage terms.
- highreadme#2Reposition the README's opening to emphasize its curated nature and scope
原因:
当前A repo lists papers related to LLM based agent.
复制粘贴的修复A meticulously curated and actively updated repository listing research papers related to LLM-based agents, categorized by survey, technique, interaction, application, and more. This resource is designed for researchers, developers, and students seeking a structured overview of advancements in the LLM agent field.
- mediumhomepage#3Add a homepage URL to the repository's About section
原因:
复制粘贴的修复Set the homepage URL in the repository's About section to `https://github.com/AGI-Edgerunners/LLM-Agents-Papers`.
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。
- arXiv.org · 被推荐 1 次
- Google Scholar · 被推荐 1 次
- Hugging Face Blog · 被推荐 1 次
- Hugging Face Papers · 被推荐 1 次
- Semantic Scholar · 被推荐 1 次
- 品类问题Where can I find recent research papers and comprehensive surveys on large language model agents?你:未被推荐AI 推荐顺序:
- arXiv.org
- Google Scholar
- Hugging Face Blog
- Hugging Face Papers
- Semantic Scholar
- Distill.pub
- OpenAI
- Google AI
- Anthropic
- DeepMind
- Alignment Research Center
- LessWrong
- AI Alignment Forum
- NeurIPS
- ICML
- ICLR
- ACL
- EMNLP
- AAAI
- IJCAI
- GitHub Repositories
AI 推荐了 21 个替代方案,却始终没点名 AGI-Edgerunners/LLM-Agents-Papers。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Looking for academic papers exploring advanced techniques for improving LLM agent performance and memory mechanisms.你:未被推荐AI 推荐顺序:
- Generative Agents: Interactive Simulacra of Human Behavior
- Recurrent Memory Transformer
- Self-Refine: Iterative Refinement with Self-Feedback
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
- ReAct: Synergizing Reasoning and Acting in Language Models
- Voyager: An Open-Ended Embodied Agent with Large Language Models
- Memory-Augmented Large Language Models are Computationally Universal
AI 推荐了 7 个替代方案,却始终没点名 AGI-Edgerunners/LLM-Agents-Papers。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 AGI-Edgerunners/LLM-Agents-Papers?passAI 未点名 AGI-Edgerunners/LLM-Agents-Papers —— 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 AGI-Edgerunners/LLM-Agents-Papers in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 AGI-Edgerunners/LLM-Agents-Papers
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 AGI-Edgerunners/LLM-Agents-Papers solve, and who is the primary audience?passAI 未点名 AGI-Edgerunners/LLM-Agents-Papers —— 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 AGI-Edgerunners/LLM-Agents-Papers 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/AGI-Edgerunners/LLM-Agents-Papers)<a href="https://repogeo.com/zh/r/AGI-Edgerunners/LLM-Agents-Papers"><img src="https://repogeo.com/badge/AGI-Edgerunners/LLM-Agents-Papers.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
AGI-Edgerunners/LLM-Agents-Papers — 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