RRepoGEO

REPOGEO REPORT · LITE

zepingyu0512/awesome-llm-understanding-mechanism

Default branch main · commit 727f782d · scanned 6/13/2026, 10:42:49 PM

GitHub: 621 stars · 21 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zepingyu0512/awesome-llm-understanding-mechanism, 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
  • highreadme#1
    Clarify repo type in README H1 and opening sentence

    Why:

    CURRENT
    # Awesome Papers for Understanding LLM Mechanism
This list focuses on understanding the internal mechanism of large language models (LLM).
    COPY-PASTE FIX
    # Awesome List: Papers for Understanding LLM Mechanism
This is an awesome list of research papers specifically curated for understanding the internal mechanism of large language models (LLM).
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-interpretability, llm-understanding, large-language-models, awesome-list, machine-learning-research, nlp-papers, research-papers
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the Creative Commons Attribution 4.0 International License (CC-BY-4.0).

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 zepingyu0512/awesome-llm-understanding-mechanism
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BERT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BERT · recommended 1×
  2. GPT · recommended 1×
  3. GPT-2 · recommended 1×
  4. T5 · recommended 1×
  5. PaLM · recommended 1×
  • CATEGORY QUERY
    How can I find research papers explaining the internal mechanisms of large language models?
    you: not recommended
    AI recommended (in order):
    1. BERT
    2. GPT
    3. GPT-2
    4. T5
    5. PaLM
    6. Llama 2

    AI recommended 6 alternatives but never named zepingyu0512/awesome-llm-understanding-mechanism. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find academic resources on LLM interpretability and explainability methods?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. ACL Anthology
    4. Distill.pub
    5. NeurIPS
    6. ICML
    7. ICLR
    8. Journal of Machine Learning Research (JMLR)
    9. MIT Technology Review
    10. The Gradient
    11. Towards Data Science (Medium)

    AI recommended 11 alternatives but never named zepingyu0512/awesome-llm-understanding-mechanism. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 zepingyu0512/awesome-llm-understanding-mechanism?
    pass
    AI did not name zepingyu0512/awesome-llm-understanding-mechanism — 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 zepingyu0512/awesome-llm-understanding-mechanism in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zepingyu0512/awesome-llm-understanding-mechanism 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 zepingyu0512/awesome-llm-understanding-mechanism solve, and who is the primary audience?
    pass
    AI did not name zepingyu0512/awesome-llm-understanding-mechanism — 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

Drop this badge into the README of zepingyu0512/awesome-llm-understanding-mechanism. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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zepingyu0512/awesome-llm-understanding-mechanism — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite