RRepoGEO

REPOGEO REPORT · LITE

lonePatient/awesome-pretrained-chinese-nlp-models

Default branch main · commit 1fad21ae · scanned 5/20/2026, 5:37:45 PM

GitHub: 5,563 stars · 509 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
15 /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
0 / 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 lonePatient/awesome-pretrained-chinese-nlp-models, 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
    Emphasize 'collection' in the README's opening sentence

    Why:

    CURRENT
    在自然语言处理领域中,预训练语言模型(Pretrained Language Models)已成为非常重要的基础技术,本仓库主要收集目前网上公开的一些高质量中文预训练模型、中文多模态模型、中文大语言模型等内容(感谢分享资源的大佬),并将持续更新......
    COPY-PASTE FIX
    在自然语言处理领域中,预训练语言模型(Pretrained Language Models)已成为非常重要的基础技术。本仓库是一个精心策划的集合,主要收集目前网上公开的一些高质量中文预训练模型、中文多模态模型、中文大语言模型等内容(感谢分享资源的大佬),并将持续更新......
  • hightopics#2
    Add 'awesome-list' and 'collection' topics

    Why:

    CURRENT
    bert, chinese, dataset, ernie, gpt, gpt-2, large-language-models, llm, multimodel, nezha, nlp, nlu-nlg, pangu, pretrained-models, roberta, simbert, xlnet
    COPY-PASTE FIX
    awesome-list, collection, bert, chinese, dataset, ernie, gpt, gpt-2, large-language-models, llm, multimodel, nezha, nlp, nlu-nlg, pangu, pretrained-models, roberta, simbert, xlnet
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/lonePatient/awesome-pretrained-chinese-nlp-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 lonePatient/awesome-pretrained-chinese-nlp-models
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PaddlePaddle's ERNIE · recommended 1×
  3. TencentPretrain · recommended 1×
  4. THUNLP's Chinese-BERT-wwm · recommended 1×
  5. FudanNLP · recommended 1×
  • CATEGORY QUERY
    Where can I find a collection of high-quality pre-trained models for Chinese natural language processing?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PaddlePaddle's ERNIE
    3. TencentPretrain
    4. THUNLP's Chinese-BERT-wwm
    5. FudanNLP

    AI recommended 5 alternatives but never named lonePatient/awesome-pretrained-chinese-nlp-models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source large language models and multimodal models for Chinese applications?
    you: not recommended
    AI recommended (in order):
    1. Qwen
    2. Baichuan
    3. ChatGLM
    4. Yi
    5. InternLM
    6. DeepSeek

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

Drop this badge into the README of lonePatient/awesome-pretrained-chinese-nlp-models. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/lonePatient/awesome-pretrained-chinese-nlp-models.svg)](https://repogeo.com/en/r/lonePatient/awesome-pretrained-chinese-nlp-models)
HTML
<a href="https://repogeo.com/en/r/lonePatient/awesome-pretrained-chinese-nlp-models"><img src="https://repogeo.com/badge/lonePatient/awesome-pretrained-chinese-nlp-models.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lonePatient/awesome-pretrained-chinese-nlp-models — 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