RRepoGEO

REPOGEO REPORT · LITE

NiuTrans/ABigSurvey

Default branch master · commit a27165b4 · scanned 5/27/2026, 5:52:49 AM

GitHub: 2,032 stars · 246 forks

AI VISIBILITY SCORE
35 /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
3 / 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 NiuTrans/ABigSurvey, 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
    Reposition README opening to clarify repo type and scope

    Why:

    CURRENT
    In this document, we survey hundreds of survey papers on Natural Language Processing (NLP) and Machine Learning (ML). We categorize these papers into popular topics and do simple counting for some interesting problems. In addition, we show the list of the papers with urls (1063 papers).
    COPY-PASTE FIX
    This repository is a curated collection of over 1000 survey papers spanning a broad range of topics in Natural Language Processing (NLP) and Machine Learning (ML), including recent advancements in Large Language Models. It serves as a categorized list of these papers with URLs, and is not a codebase or benchmark for reproducing research results.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://niutrans.github.io/ABigSurvey/
  • mediumreadme#3
    Add a sentence to README clarifying unique value proposition

    Why:

    COPY-PASTE FIX
    Unlike general paper databases or code repositories, ABigSurvey offers a hand-picked and categorized collection specifically focused on survey papers, making it easier to grasp the landscape of NLP and ML research.

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 NiuTrans/ABigSurvey
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ACL Anthology
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ACL Anthology · recommended 1×
  2. arXiv · recommended 1×
  3. Hugging Face · recommended 1×
  4. Papers With Code · recommended 1×
  5. The Batch · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive overviews of recent advancements in natural language processing?
    you: not recommended
    AI recommended (in order):
    1. ACL Anthology
    2. arXiv
    3. Hugging Face
    4. Papers With Code
    5. The Batch
    6. Stanford NLP Group
    7. Google AI Blog

    AI recommended 7 alternatives but never named NiuTrans/ABigSurvey. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential survey papers for understanding current machine learning research trends?
    you: not recommended
    AI recommended (in order):
    1. AlphaGo
    2. OpenAI Five
    3. arXiv.org
    4. NeurIPS
    5. ICML
    6. ICLR
    7. CVPR
    8. ECCV
    9. ICCV
    10. ACL
    11. EMNLP

    AI recommended 11 alternatives but never named NiuTrans/ABigSurvey. 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 NiuTrans/ABigSurvey?
    pass
    AI named NiuTrans/ABigSurvey explicitly

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

  • If a team adopts NiuTrans/ABigSurvey in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NiuTrans/ABigSurvey 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 NiuTrans/ABigSurvey solve, and who is the primary audience?
    pass
    AI named NiuTrans/ABigSurvey explicitly

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

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NiuTrans/ABigSurvey — 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