REPOGEO REPORT · LITE

tomohideshibata/BERT-related-papers

Default branch master · commit 59f8315e · scanned 5/16/2026, 7:37:35 PM

GitHub: 2,038 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 relevant topics to the repository

Why:

COPY-PASTE FIX

["BERT", "NLP", "transformer", "language-models", "research-papers", "deep-learning", "natural-language-processing", "paper-list"]

highreadme#2

Clarify the README's opening sentence to emphasize it's a curated list

Why:

CURRENT

This is a list of BERT-related papers.

COPY-PASTE FIX

This repository provides a comprehensive, curated, and categorized list of research papers related to BERT and transformer-based language models.

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 (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the content.

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

Of all named tools, what % are you?

Top rival

Papers With Code

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code · recommended 2×
arXiv.org · recommended 1×
Google Scholar · recommended 1×
ACL Anthology · recommended 1×
Hugging Face Blog/Research · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of research papers on transformer-based language models?
you: not recommended
AI recommended (in order):
1. Papers With Code
2. arXiv.org
3. Google Scholar
4. ACL Anthology
5. Hugging Face Blog/Research
6. Distill.pub
7. Semantic Scholar
AI recommended 7 alternatives but never named tomohideshibata/BERT-related-papers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
I need to explore various applications and modifications of pre-trained language models; any good resources?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers Library (huggingface/transformers)
2. OpenAI API
3. Stanford NLP Group's Publications
4. Google AI Blog
5. DeepMind Blog
6. Papers With Code
7. fastai (fastai/fastai)
8. LangChain (langchain-ai/langchain)
9. LlamaIndex (run-llama/llama_index)
AI recommended 9 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