RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/vilbert-multi-task

Default branch main · commit f22b84a9 · scanned 6/5/2026, 10:33:08 PM

GitHub: 824 stars · 177 forks

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 facebookresearch/vilbert-multi-task, 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

2 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 clearly state project purpose

    Why:

    CURRENT
    # 12-in-1: Multi-Task Vision and Language Representation Learning

Please cite the following if you use this code. Code and pre-trained models for 12-in-1: Multi-Task Vision and Language Representation Learning:
    COPY-PASTE FIX
    # 12-in-1: Multi-Task Vision and Language Representation Learning

This repository provides code and pre-trained models for **12-in-1: Multi-Task Vision and Language Representation Learning**, building upon the ViLBERT framework. It enables training a single model to handle diverse vision and language tasks, offering state-of-the-art multimodal representation learning for AI researchers.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    [Insert relevant project or research page URL here, e.g., a dedicated project website or the primary research paper's page if it serves as a de facto homepage]

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 facebookresearch/vilbert-multi-task
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. huggingface/diffusers · recommended 1×
  3. Lightning-AI/lightning · recommended 1×
  4. OpenAI API · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How can I train a single model to handle diverse vision and language tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library (huggingface/transformers)
    2. Hugging Face Diffusers Library (huggingface/diffusers)
    3. PyTorch Lightning (Lightning-AI/lightning)
    4. OpenAI API
    5. Google Cloud Vertex AI
    6. MMDetection (open-mmlab/mmdetection)
    7. MMDetection3D (open-mmlab/mmdetection3d)
    8. MMAction2 (open-mmlab/mmaction2)
    9. Keras (keras-team/keras)

    AI recommended 9 alternatives but never named facebookresearch/vilbert-multi-task. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources exist for pretraining joint representations from images and natural language?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. Google ALIGN
    3. Meta AI DALL-E 2 / DALL-E 3
    4. Google FLAVA
    5. Microsoft BEiT-3
    6. LAION-5B Dataset
    7. Hugging Face Transformers Library

    AI recommended 7 alternatives but never named facebookresearch/vilbert-multi-task. 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 facebookresearch/vilbert-multi-task?
    pass
    AI named facebookresearch/vilbert-multi-task explicitly

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

  • If a team adopts facebookresearch/vilbert-multi-task in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/vilbert-multi-task 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 facebookresearch/vilbert-multi-task solve, and who is the primary audience?
    pass
    AI did not name facebookresearch/vilbert-multi-task — 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 facebookresearch/vilbert-multi-task. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
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