RRepoGEO

REPOGEO REPORT · LITE

DengBoCong/nlp-paper

Default branch master · commit 849ce865 · scanned 5/23/2026, 5:22:46 PM

GitHub: 1,331 stars · 189 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
28 /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
2 / 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 DengBoCong/nlp-paper, 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 the README's opening to highlight code implementations

    Why:

    CURRENT
    更新一些在我学习过程中阅读过的且感觉不错的论文，对于一些经典或思路很新奇的论文，会进行精读，并写一些阅读笔记同步上传更新。(内容同步更新到知乎、CSDN)，**论文按照时间顺序排放**。
    COPY-PASTE FIX
    A curated collection of Natural Language Processing (NLP) research papers, featuring detailed reading notes, reproduced models, and practical code implementations in both TensorFlow and PyTorch. This repository serves as a comprehensive resource for researchers and students to explore key NLP advancements and their practical applications.
  • mediumtopics#2
    Add more specific topics related to code and model implementations

    Why:

    CURRENT
    bert, dialogue, nlp, nlp-machine-learning, paper, pytorch, speech, tensorflow2
    COPY-PASTE FIX
    bert, dialogue, nlp, nlp-machine-learning, paper, pytorch, speech, tensorflow2, nlp-implementations, model-implementations, paper-implementations, code-examples
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/DengBoCong/nlp-paper (or a more specific project/personal page if available)

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 DengBoCong/nlp-paper
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. Hugging Face · recommended 1×
  3. GitHub · recommended 1×
  4. arXiv · recommended 1×
  5. NLP Progress · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of NLP research papers with accompanying code implementations?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Hugging Face
    3. GitHub
    4. arXiv
    5. NLP Progress
    6. ACL Anthology

    AI recommended 6 alternatives but never named DengBoCong/nlp-paper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical examples and model implementations for various natural language processing tasks.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. spaCy
    3. NLTK
    4. TensorFlow
    5. PyTorch
    6. fast.ai

    AI recommended 6 alternatives but never named DengBoCong/nlp-paper. 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 DengBoCong/nlp-paper?
    pass
    AI did not name DengBoCong/nlp-paper — 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 DengBoCong/nlp-paper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DengBoCong/nlp-paper 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 DengBoCong/nlp-paper solve, and who is the primary audience?
    pass
    AI named DengBoCong/nlp-paper explicitly

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

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DengBoCong/nlp-paper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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