RRepoGEO

REPOGEO REPORT · LITE

qiuzh20/gated_attention

Default branch main · commit f4c2a5f6 · scanned 6/16/2026, 6:58:06 PM

GitHub: 962 stars · 61 forks

AI VISIBILITY SCORE
22 /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
1 / 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 qiuzh20/gated_attention, 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
    Update README H1 to explicitly state LLM focus

    Why:

    CURRENT
    # Gated Attention: Implementation and Visualization
    COPY-PASTE FIX
    # Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free (Official Implementation)
  • mediumhomepage#2
    Add the paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    [Insert URL of the NeurIPS 2025 paper here]

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 qiuzh20/gated_attention
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FlashAttention / FlashAttention-2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FlashAttention / FlashAttention-2 · recommended 1×
  2. LongRoPE (Long-Context RoPE) · recommended 1×
  3. xFormers · recommended 1×
  4. DeepSpeed (Microsoft) · recommended 1×
  5. vLLM · recommended 1×
  • CATEGORY QUERY
    How can I enhance large language model efficiency and context window for better performance?
    you: not recommended
    AI recommended (in order):
    1. FlashAttention / FlashAttention-2
    2. LongRoPE (Long-Context RoPE)
    3. xFormers
    4. DeepSpeed (Microsoft)
    5. vLLM
    6. GPT-NeoX (EleutherAI)
    7. LoRA (Low-Rank Adaptation of Large Language Models)

    AI recommended 7 alternatives but never named qiuzh20/gated_attention. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are advanced attention techniques for improving LLM training stability and long-range understanding?
    you: not recommended
    AI recommended (in order):
    1. FlashAttention
    2. FlashAttention-2
    3. Long-RoPE
    4. Multi-Query Attention (MQA)
    5. Grouped-Query Attention (GQA)
    6. Longformer
    7. BigBird
    8. Performer
    9. RetNet
    10. H3

    AI recommended 10 alternatives but never named qiuzh20/gated_attention. 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 qiuzh20/gated_attention?
    pass
    AI did not name qiuzh20/gated_attention — 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 qiuzh20/gated_attention in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qiuzh20/gated_attention 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 qiuzh20/gated_attention solve, and who is the primary audience?
    pass
    AI did not name qiuzh20/gated_attention — 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?

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qiuzh20/gated_attention — 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