RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/SRPO

Default branch main · commit e3138711 · scanned 5/16/2026, 12:23:13 PM

GitHub: 1,273 stars · 41 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-Hunyuan/SRPO, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["diffusion-models", "preference-optimization", "human-feedback", "generative-ai", "deep-learning", "pytorch", "image-generation"]
  • mediumreadme#2
    Add a concise project overview to the README

    Why:

    COPY-PASTE FIX
    This repository provides the official PyTorch implementation and pre-trained models for SRPO, a novel method for directly aligning the full diffusion trajectory with fine-grained human preferences. SRPO offers a robust and simple approach to enhance generative AI model outputs by integrating human feedback throughout the generation process.
  • mediumreadme#3
    Clarify the license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under the terms specified in the [LICENSE](LICENSE) file. Please review the file for specific usage rights and restrictions.

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-Hunyuan/SRPO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
🤗 Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. 🤗 Transformers · recommended 1×
  2. TRL (Transformer Reinforcement Learning library) · recommended 1×
  3. OpenAI's TRPO/PPO implementations · recommended 1×
  4. 🤗 Diffusers · recommended 1×
  5. ControlNet (from Lvmin Zhang) · recommended 1×
  • CATEGORY QUERY
    How can I improve diffusion model outputs by directly incorporating fine-grained human preferences?
    you: not recommended
    AI recommended (in order):
    1. 🤗 Transformers
    2. TRL (Transformer Reinforcement Learning library)
    3. OpenAI's TRPO/PPO implementations
    4. 🤗 Diffusers
    5. ControlNet (from Lvmin Zhang)
    6. DreamBooth (from Google Research)
    7. LoRA (Low-Rank Adaptation of Large Language Models, adapted for diffusion models)
    8. OpenAI CLIP
    9. OpenCLIP

    AI recommended 9 alternatives but never named Tencent-Hunyuan/SRPO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking methods to align generative AI model trajectories with specific human feedback for quality.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face TRL
    2. OpenAI API
    3. DeepMind's Acme
    4. Hugging Face Trainer API
    5. PyTorch
    6. TensorFlow
    7. Lightly
    8. Snorkel

    AI recommended 8 alternatives but never named Tencent-Hunyuan/SRPO. 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-Hunyuan/SRPO?
    pass
    AI named Tencent-Hunyuan/SRPO 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-Hunyuan/SRPO in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/SRPO 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-Hunyuan/SRPO solve, and who is the primary audience?
    pass
    AI named Tencent-Hunyuan/SRPO 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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Tencent-Hunyuan/SRPO — 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