RRepoGEO

REPOGEO REPORT · LITE

txsun1997/LMaaS-Papers

Default branch main · commit b24ee6f7 · scanned 6/1/2026, 1:02:56 AM

GitHub: 545 stars · 32 forks

AI VISIBILITY SCORE
35 /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
3 / 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 txsun1997/LMaaS-Papers, 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
    Strengthen README's opening to emphasize research collection

    Why:

    CURRENT
    This is a curated list of "Language-Model-as-a-Service (LMaaS)" papers, which is mainly maintained by Tianxiang Sun.
    COPY-PASTE FIX
    This repository is a comprehensive, curated research collection of "Language-Model-as-a-Service (LMaaS)" papers, maintained by Tianxiang Sun, serving as a vital resource for academics and practitioners in the field.
  • mediumtopics#2
    Add academic-focused topics

    Why:

    CURRENT
    ai, gpt-3, machine-learning, natural-language-processing, nlp, paper-list, pre-trained-language-models, prompt-learning, prompt-tuning
    COPY-PASTE FIX
    ai, gpt-3, machine-learning, natural-language-processing, nlp, paper-list, pre-trained-language-models, prompt-learning, prompt-tuning, research-papers, academic-resource, literature-review
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    Add the URL of the main project page, associated publication, or maintainer's academic profile to the repository's 'About' section.

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 txsun1997/LMaaS-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API Best Practices · recommended 1×
  4. Anthropic's "Constitutional AI" · recommended 1×
  5. RLAIF · recommended 1×
  • CATEGORY QUERY
    How can I find research on optimizing large language models accessed only via API?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API Best Practices
    4. Anthropic's "Constitutional AI"
    5. RLAIF
    6. Pydantic
    7. Guidance (Microsoft)
    8. JSON Schema
    9. OpenAI's Tokenizer (tiktoken)
    10. OpenAI Evals
    11. HELM (Holistic Evaluation of Language Models) by Stanford
    12. OpenAI Function Calling
    13. Auto-GPT
    14. BabyAGI
    15. LangChain Agents

    AI recommended 15 alternatives but never named txsun1997/LMaaS-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the state-of-the-art techniques for prompt engineering with black-box language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. Google Gemini API
    4. PromptPerfect
    5. LMQL (eth-sri/lmql)
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)

    AI recommended 7 alternatives but never named txsun1997/LMaaS-Papers. 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 txsun1997/LMaaS-Papers?
    pass
    AI named txsun1997/LMaaS-Papers explicitly

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

  • If a team adopts txsun1997/LMaaS-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named txsun1997/LMaaS-Papers 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 txsun1997/LMaaS-Papers solve, and who is the primary audience?
    pass
    AI named txsun1997/LMaaS-Papers explicitly

    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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txsun1997/LMaaS-Papers — 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