RRepoGEO

REPOGEO REPORT · LITE

VILA-Lab/Awesome-DLMs

Default branch main · commit 3f8630fd · scanned 5/21/2026, 1:42:58 PM

GitHub: 1,038 stars · 44 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 VILA-Lab/Awesome-DLMs, 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 sentence to emphasize its 'awesome list' nature

    Why:

    CURRENT
    One of the most starred, comprehensive and up-to-date collections of Diffusion Language Model papers, code and resources!
    COPY-PASTE FIX
    This repository is the most comprehensive and up-to-date awesome list of Diffusion Language Model papers, code, and resources. It's curated to help researchers and practitioners navigate the rapidly evolving field.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, diffusion-models, language-models, deep-learning, nlp, research-papers, survey
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT) to the repository root. This clarifies usage rights for the curated list itself.

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 VILA-Lab/Awesome-DLMs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. Papers With Code · recommended 1×
  4. Hugging Face Blog/Research · recommended 1×
  5. ACL Anthology · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of research papers on diffusion language models?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. Papers With Code
    4. Hugging Face Blog/Research
    5. ACL Anthology

    AI recommended 5 alternatives but never named VILA-Lab/Awesome-DLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the key differences between continuous, discrete, and multimodal diffusion language models?
    you: not recommended
    AI recommended (in order):
    1. DDIM
    2. DPM-Solver
    3. Stable Diffusion
    4. DALL-E 2
    5. GLIDE
    6. Diffusion-LM
    7. BERT
    8. Diffusion-BERT
    9. AR-DDPM
    10. Imagen
    11. Make-A-Video
    12. AudioGen

    AI recommended 12 alternatives but never named VILA-Lab/Awesome-DLMs. 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 VILA-Lab/Awesome-DLMs?
    pass
    AI did not name VILA-Lab/Awesome-DLMs — 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 VILA-Lab/Awesome-DLMs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VILA-Lab/Awesome-DLMs 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 VILA-Lab/Awesome-DLMs solve, and who is the primary audience?
    pass
    AI named VILA-Lab/Awesome-DLMs explicitly

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

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VILA-Lab/Awesome-DLMs — 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