RRepoGEO

REPOGEO REPORT · LITE

ymcui/MacBERT

Default branch master · commit 9a72882b · scanned 6/3/2026, 12:18:10 PM

GitHub: 715 stars · 61 forks

AI VISIBILITY SCORE
83 /100
Healthy
Category recall
2 / 2
Avg rank #2.0 when recommended
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/MacBERT, 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
  • highabout#1
    Refine 'About' description for direct identification

    Why:

    CURRENT
    Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)
    COPY-PASTE FIX
    MacBERT: A Chinese pre-trained language model that improves BERT's masking strategy to enhance performance on various Chinese NLP tasks.
  • mediumreadme#2
    Add a concise English introduction to the main README.md

    Why:

    CURRENT
    **简体中文** | [**English**](./README_EN.md)
    
    <p align="center">
        <br>
        
        <br>
    </p>
    <p align="center">
        <a href="https://github.com/ymcui/MacBERT/blob/master/LICENSE">
            
        </a>
    </p>
    本目录包含**MacBERT预训练模型**...
    COPY-PASTE FIX
    **简体中文** | [**English**](./README_EN.md)
    
    **MacBERT** is a Chinese pre-trained language model that improves BERT's masking strategy for enhanced performance on various Chinese NLP tasks. For full English documentation, please see [README_EN.md](./README_EN.md).
    
    <p align="center">
        <br>
        
        <br>
    </p>
    <p align="center">
        <a href="https://github.com/ymcui/MacBERT/blob/master/LICENSE">
            
        </a>
    </p>
    本目录包含**MacBERT预训练模型**...
  • lowreadme#3
    Separate MacBERT-specific news from other project announcements

    Why:

    CURRENT
    ## News
    **2023/3/28 开源了中文LLaMA&Alpaca大模型...
    COPY-PASTE FIX
    ## News
    
    ### MacBERT Updates
    
    2020/11/3 预训练好的中文MacBERT已发布,使用方法与BERT一致.
    
    2020/9/15 论文"Revisiting Pre-Trained Models for Chinese Natural Language Processing" 被Findings of EMNLP 录用为长文.
    
    ### HFL Ecosystem Resources
    
    **2023/3/28 开源了中文LLaMA&Alpaca大模型,可快速在PC上部署体验,查看:https://github.com/ymcui/Chinese-LLaMA-Alpaca**
    
    2022/3/30 发布了新的预训练模型PERT:https://github.com/ymcui/PERT
    
    2021/12/17 发布了模型裁剪工具TextPruner:https://github.com/airaria/TextPruner
    
    2021/10/24 发布了首个面向少数民族语言的预训练模型CINO:https://github.com/ymcui/Chinese-Minority-PLM
    
    2021/7/21  "自然语言处理:基于预训练模型的方法" 一书正式出版.
    
    更多HFL发布的资源:https://github.com/ymcui/HFL-Anthology

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
2 / 2
100% of queries surface ymcui/MacBERT
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
15%
Of all named tools, what % are you?
Top rival
BERT-wwm-ext
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BERT-wwm-ext · recommended 2×
  2. NEZHA · recommended 2×
  3. Pangu-α · recommended 2×
  4. Chinese RoBERTa-wwm-ext · recommended 1×
  5. ERNIE · recommended 1×
  • CATEGORY QUERY
    How to improve BERT model performance for Chinese NLP tasks, addressing pre-training inconsistency?
    you: #1
    AI recommended (in order):
    1. MacBERT ← you
    2. Chinese RoBERTa-wwm-ext
    3. ERNIE
    4. BERT-wwm-ext
    5. NEZHA
    6. Pangu-α
    Show full AI answer
  • CATEGORY QUERY
    What are the best pre-trained language models for advanced Chinese natural language understanding?
    you: #3
    AI recommended (in order):
    1. ERNIE 3.0 Titan
    2. BERT-wwm-ext
    3. MacBERT ← you
    4. RoBERTa-wwm-ext
    5. CPM-2
    6. Pangu-α
    7. NEZHA
    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/MacBERT?
    pass
    AI named ymcui/MacBERT 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/MacBERT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ymcui/MacBERT 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/MacBERT solve, and who is the primary audience?
    pass
    AI did not name ymcui/MacBERT — 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?

Embed your GEO score

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ymcui/MacBERT — 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