RRepoGEO

REPOGEO REPORT · LITE

thunlp/TAADpapers

Default branch master · commit fbd155c8 · scanned 5/10/2026, 12:42:48 AM

GitHub: 1,573 stars · 195 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 thunlp/TAADpapers, 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 the README's opening sentence to emphasize it's a curated paper list

    Why:

    CURRENT
    This list is currently maintained by Chenghao Yang at UChicago.
    COPY-PASTE FIX
    This repository provides a comprehensive, curated list of must-read research papers on Textual Adversarial Attack and Defense (TAAD). It is currently maintained by Chenghao Yang at UChicago.
  • highhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add the official project or lab homepage URL here (e.g., a dedicated project website or the THUNLP lab page if applicable).
  • mediumtopics#3
    Add more specific topics to emphasize its nature as a research paper list

    Why:

    CURRENT
    adversarial-attacks, adversarial-defense, adversarial-learning, natural-language-processing, nlp, paper-list
    COPY-PASTE FIX
    adversarial-attacks, adversarial-defense, adversarial-learning, natural-language-processing, nlp, paper-list, research-papers, literature-review, survey-papers

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 thunlp/TAADpapers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TextAttack
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TextAttack · recommended 2×
  2. spaCy · recommended 1×
  3. NLTK · recommended 1×
  4. FastText · recommended 1×
  5. GloVe · recommended 1×
  • CATEGORY QUERY
    How can I improve the robustness of my natural language processing models against malicious text?
    you: not recommended
    AI recommended (in order):
    1. TextAttack
    2. spaCy
    3. NLTK
    4. FastText
    5. GloVe
    6. Hugging Face Transformers
    7. BERT
    8. RoBERTa
    9. CANINE
    10. Keras
    11. PyTorch
    12. scikit-learn
    13. PyOD

    AI recommended 13 alternatives but never named thunlp/TAADpapers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest research papers on creating and defending against textual adversarial attacks?
    you: not recommended
    AI recommended (in order):
    1. TextAttack
    2. BAE
    3. BERT-Attack
    4. HotFlip
    5. TextFooler

    AI recommended 5 alternatives but never named thunlp/TAADpapers. 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 thunlp/TAADpapers?
    pass
    AI named thunlp/TAADpapers explicitly

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

  • If a team adopts thunlp/TAADpapers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name thunlp/TAADpapers — 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 thunlp/TAADpapers solve, and who is the primary audience?
    pass
    AI did not name thunlp/TAADpapers — 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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thunlp/TAADpapers — 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