RRepoGEO

REPOGEO REPORT · LITE

Tencent/WeDLM

Default branch main · commit 8d3f66b1 · scanned 5/30/2026, 3:33:53 AM

GitHub: 645 stars · 45 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 Tencent/WeDLM, 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 core value proposition immediately after the title

    Why:

    CURRENT
    ### Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference

<p><b>WeChat AI, Tencent</b></p>
    COPY-PASTE FIX
    ### Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference

WeDLM is the fastest diffusion language model, delivering real speedups over vLLM-optimized autoregressive baselines for fast inference.

<p><b>WeChat AI, Tencent</b></p>
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    diffusion-models, language-models, llm-inference, fast-inference, kv-cache, causal-attention, generative-ai, tencent, wechat-ai
  • mediumreadme#3
    Clarify license details in the README

    Why:

    COPY-PASTE FIX
    Add a dedicated section or a clear statement in the README, perhaps under a 'License' heading, explaining: 'This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on usage and distribution.'

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 Tencent/WeDLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/onnxruntime
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/onnxruntime · recommended 1×
  2. NVIDIA/TensorRT · recommended 1×
  3. openvinotoolkit/openvino · recommended 1×
  4. microsoft/DeepSpeed · recommended 1×
  5. pytorch/pytorch · recommended 1×
  • CATEGORY QUERY
    How can I achieve faster inference with diffusion-based large language models?
    you: not recommended
    AI recommended (in order):
    1. ONNX Runtime (microsoft/onnxruntime)
    2. TensorRT (NVIDIA/TensorRT)
    3. OpenVINO (openvinotoolkit/openvino)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. PyTorch 2.0 (pytorch/pytorch)
    6. bitsandbytes (TimDettmers/bitsandbytes)
    7. Hugging Face Optimum (huggingface/optimum)
    8. FlashAttention (Dao-AILab/flash-attention)

    AI recommended 8 alternatives but never named Tencent/WeDLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a language model that outperforms optimized autoregressive inference for speed.
    you: not recommended
    AI recommended (in order):
    1. LSTM
    2. GRU
    3. Mamba
    4. S4
    5. BERT
    6. XLNet
    7. DistilBERT
    8. TinyBERT
    9. MobileBERT
    10. Longformer
    11. Reformer

    AI recommended 11 alternatives but never named Tencent/WeDLM. 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 Tencent/WeDLM?
    pass
    AI named Tencent/WeDLM explicitly

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

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

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

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Tencent/WeDLM — 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