RRepoGEO

REPOGEO REPORT · LITE

yinizhilian/ICLR2025-Papers-with-Code

Default branch main · commit 982a1498 · scanned 6/16/2026, 4:53:12 PM

GitHub: 587 stars · 33 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yinizhilian/ICLR2025-Papers-with-Code, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of a Creative Commons Attribution 4.0 International License (CC-BY-4.0), which is suitable for a collection of papers and links.
  • highhomepage#2
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the GitHub repository settings to `https://github.com/yinizhilian/ICLR2025-Papers-with-Code`.
  • mediumreadme#3
    Refine README's initial paragraph to prioritize core value

    Why:

    CURRENT
    本仓库旨在收集ICLR最新研究进展，尤其是LLM方面，涉及NLP领域的各个方向，此项目长期不定时更新。</br>欢迎watch和fork！不过给个star⭐就更好了❤️。</br>知乎地址：**ShuYini**</br>微信公众号: **AINLPer**（**每日更新，欢迎关注**）
    COPY-PASTE FIX
    本仓库是一个持续更新的ICLR论文和开源项目合集，涵盖ICLR2021至ICLR2025的最新研究进展，尤其关注LLM和NLP领域。它旨在为研究人员和开发者提供一个便捷的资源库，以探索和实现前沿的机器学习研究。欢迎watch、fork和star⭐支持本项目！

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface yinizhilian/ICLR2025-Papers-with-Code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. arXiv.org · recommended 1×
  3. Google · recommended 1×
  4. NeurIPS · recommended 1×
  5. ICML · recommended 1×
  • CATEGORY QUERY
    Where can I find recent deep learning conference papers along with their open-source code?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv.org
    3. Google
    4. NeurIPS
    5. ICML
    6. ICLR
    7. CVPR
    8. ICCV
    9. ECCV
    10. ACL
    11. EMNLP
    12. OpenReview
    13. GitHub
    14. Twitter (X)
    15. Reddit
    16. r/MachineLearning
    17. r/DeepLearning

    AI recommended 17 alternatives but never named yinizhilian/ICLR2025-Papers-with-Code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a collection of cutting-edge LLM and NLP research papers with accompanying code examples.
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Hugging Face Blog

    AI recommended 2 alternatives but never named yinizhilian/ICLR2025-Papers-with-Code. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of yinizhilian/ICLR2025-Papers-with-Code?
    pass
    AI did not name yinizhilian/ICLR2025-Papers-with-Code — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts yinizhilian/ICLR2025-Papers-with-Code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yinizhilian/ICLR2025-Papers-with-Code explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo yinizhilian/ICLR2025-Papers-with-Code solve, and who is the primary audience?
    pass
    AI did not name yinizhilian/ICLR2025-Papers-with-Code — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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