RRepoGEO

REPOGEO REPORT · LITE

tomohideshibata/BERT-related-papers

Default branch master · commit 59f8315e · scanned 6/27/2026, 5:12:30 PM

GitHub: 2,036 stars · 279 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
10 /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
0 / 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 tomohideshibata/BERT-related-papers, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    bert, nlp, natural-language-processing, deep-learning, machine-learning, papers, research, survey, transformer-models
  • highabout#2
    Update the repository description to be more explicit

    Why:

    CURRENT
    BERT-related papers
    COPY-PASTE FIX
    A curated and comprehensive list of research papers related to BERT and its applications in Natural Language Processing.
  • 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 MIT License text.

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 tomohideshibata/BERT-related-papers
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. arXiv · recommended 1×
  3. Google Scholar · recommended 1×
  4. ACL Anthology · recommended 1×
  5. Hugging Face Blog/Research · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of research papers on BERT and its applications?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv
    3. Google Scholar
    4. ACL Anthology
    5. Hugging Face Blog/Research
    6. Semantic Scholar

    AI recommended 6 alternatives but never named tomohideshibata/BERT-related-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the key advancements and modifications in BERT models for NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. RoBERTa
    2. ALBERT
    3. DistilBERT
    4. ELECTRA
    5. LongFormer
    6. DeBERTa
    7. MiniBERT

    AI recommended 7 alternatives but never named tomohideshibata/BERT-related-papers. 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 tomohideshibata/BERT-related-papers?
    pass
    AI did not name tomohideshibata/BERT-related-papers — 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 tomohideshibata/BERT-related-papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name tomohideshibata/BERT-related-papers — 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?

  • In one sentence, what problem does the repo tomohideshibata/BERT-related-papers solve, and who is the primary audience?
    pass
    AI did not name tomohideshibata/BERT-related-papers — 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?

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tomohideshibata/BERT-related-papers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite