RRepoGEO

REPOGEO REPORT · LITE

ymcui/Chinese-XLNet

Default branch master · commit 4386834e · scanned 6/19/2026, 8:13:28 PM

GitHub: 1,648 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
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ymcui/Chinese-XLNet, 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's opening to emphasize official Chinese XLNet source

    Why:

    CURRENT
    本项目提供了面向中文的XLNet预训练模型，旨在丰富中文自然语言处理资源，提供多元化的中文预训练模型选择。
    COPY-PASTE FIX
    本项目提供了面向中文的XLNet预训练模型，是哈工大讯飞联合实验室（HFL）官方发布的中文XLNet模型资源，旨在丰富中文自然语言处理资源，提供多元化的中文预训练模型选择。
  • mediumreadme#2
    Add a dedicated 'Features' or 'Why Chinese XLNet?' section

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## 特点 (Features)' or '## 为什么选择中文XLNet (Why Chinese XLNet?)', detailing its specific advantages (e.g., comprehensive pre-training, specific datasets, performance benchmarks if available, ease of use with popular frameworks).
  • lowtopics#3
    Add more specific topics related to pre-trained language models

    Why:

    CURRENT
    natural-language-processing, nlp, pytorch, tensorflow, xlnet
    COPY-PASTE FIX
    natural-language-processing, nlp, pytorch, tensorflow, xlnet, pre-trained-models, language-models, chinese-nlp, transformer-models

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 ymcui/Chinese-XLNet
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers Library · recommended 1×
  2. BERT-base-chinese · recommended 1×
  3. BERT-large-chinese · recommended 1×
  4. RoBERTa-wwm-ext · recommended 1×
  5. RoBERTa-wwm-ext-large · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-trained transformer models specifically for Chinese natural language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. BERT-base-chinese
    3. BERT-large-chinese
    4. RoBERTa-wwm-ext
    5. RoBERTa-wwm-ext-large
    6. RoBERTa-wwm-ext-large-chinese
    7. MacBERT
    8. Chinese-BERT-WWM
    9. ERNIE
    10. ernie-1.0
    11. ernie-2.0-base-zh
    12. ernie-3.0-base-zh
    13. ELECTRA-small-chinese-discriminator
    14. mT5
    15. mBERT
    16. PaddleNLP
    17. ERNIE 3.0 Titan
    18. ERNIE-Gram
    19. ERNIE-M
    20. TencentPretrain
    21. WeNet-Transformer
    22. CPM
    23. StructBERT

    AI recommended 23 alternatives but never named ymcui/Chinese-XLNet. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best pre-trained XLNet models available for Chinese text analysis using TensorFlow or PyTorch?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Hugging Face Transformers
    4. hfl/chinese-xlnet-base
    5. hfl/chinese-xlnet-mid
    6. hfl/chinese-xlnet-large
    7. Tencent AI Lab
    8. Baidu
    9. Alibaba

    AI recommended 9 alternatives but never named ymcui/Chinese-XLNet. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ymcui/Chinese-XLNet?
    pass
    AI named ymcui/Chinese-XLNet explicitly

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

  • If a team adopts ymcui/Chinese-XLNet in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ymcui/Chinese-XLNet 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 ymcui/Chinese-XLNet solve, and who is the primary audience?
    pass
    AI did not name ymcui/Chinese-XLNet — 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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ymcui/Chinese-XLNet — RepoGEO report