RRepoGEO

REPOGEO REPORT · LITE

uclaml/SPPO

Default branch main · commit 5e61c4e9 · scanned 6/1/2026, 5:47:59 PM

GitHub: 587 stars · 48 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 uclaml/SPPO, 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 README's opening to highlight SPPO as a framework

    Why:

    CURRENT
    This repository contains the official code and released models for the paper Self-Play Preference Optimization for Language Model Alignment.
    COPY-PASTE FIX
    SPPO is a novel self-play framework and learning objective designed for efficient language model alignment. This repository provides the official code and released models for our paper, Self-Play Preference Optimization for Language Model Alignment.
  • mediumcomparison#2
    Add a 'Why SPPO?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## Why SPPO? (Comparison to DPO/PPO/RLHF)' that briefly outlines SPPO's advantages and how it differs from common alternatives in LLM alignment.
  • lowabout#3
    Refine the repository's 'About' description

    Why:

    CURRENT
    The official implementation of Self-Play Preference Optimization (SPPO)
    COPY-PASTE FIX
    A novel self-play framework (SPPO) for efficient language model alignment. Official implementation.

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 uclaml/SPPO
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/peft · recommended 1×
  3. OpenAccess-AI-Collective/axolotl · recommended 1×
  4. microsoft/DeepSpeed · recommended 1×
  5. huggingface/accelerate · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune large language models efficiently for better alignment?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PEFT (huggingface/peft)
    3. Axolotl (OpenAccess-AI-Collective/axolotl)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. Accelerate (huggingface/accelerate)
    6. QLoRA
    7. Unsloth (unslothai/unsloth)
    8. Lit-GPT (Lightning-AI/lit-gpt)
    9. OpenAI API

    AI recommended 9 alternatives but never named uclaml/SPPO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for improving LLM performance through self-play and preference optimization?
    you: not recommended
    AI recommended (in order):
    1. RLHF
    2. TRL
    3. DeepSpeed-Chat
    4. OpenAI's Alignment Handbook
    5. PPO
    6. Ray RLlib
    7. Stable Baselines3
    8. DPO
    9. RL4LMs

    AI recommended 9 alternatives but never named uclaml/SPPO. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 uclaml/SPPO?
    pass
    AI named uclaml/SPPO explicitly

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

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