RRepoGEO

REPOGEO REPORT · LITE

louisfb01/Best_AI_paper_2020

Default branch main · commit d6a6fadb · scanned 5/19/2026, 9:48:04 AM

GitHub: 2,241 stars · 240 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /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
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 louisfb01/Best_AI_paper_2020, 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
    Condense and sharpen the README's opening paragraph

    Why:

    CURRENT
    Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future.
    COPY-PASTE FIX
    This repository offers a highly curated selection of the most impactful AI and Data Science research papers released in 2020. Each entry includes a clear video explanation, a link to a more in-depth article, and associated code (if available), providing a comprehensive resource for researchers, students, and enthusiasts to quickly grasp the year's breakthroughs.
  • mediumcomparison#2
    Add a 'Why This List?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why This Curated List?

While platforms like Papers With Code offer extensive paper databases, this repository provides a unique, highly curated experience specifically for 2020's most significant AI and Data Science breakthroughs. Here's what sets it apart:

- **Expert Curation:** A hand-picked selection of the year's most impactful research, saving you time from sifting through countless papers.
- **Video Explanations:** Each paper comes with a clear video explanation to quickly grasp complex concepts.
- **In-Depth Articles:** Links to detailed articles provide further context and understanding beyond the original paper.
- **Direct Code Access:** Where available, direct links to implementation code are provided for practical application.
- **Focused on 2020:** A dedicated review of the year's advancements, perfect for understanding the landscape of that specific period.
  • lowabout#3
    Refine the 'About' description for stronger impact

    Why:

    CURRENT
    A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
    COPY-PASTE FIX
    The definitive curated list of the best AI papers from 2020, featuring clear video explanations, in-depth articles, and code for each breakthrough.

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 louisfb01/Best_AI_paper_2020
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Towards Data Science · recommended 2×
  3. AI Alignment Forum · recommended 1×
  4. LessWrong · recommended 1×
  5. The Batch by deeplearning.ai · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of significant AI research papers from 2020 with explanations?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. AI Alignment Forum
    3. LessWrong
    4. The Batch by deeplearning.ai
    5. Synced Review
    6. Towards Data Science
    7. arXiv Sanity Preserver

    AI recommended 7 alternatives but never named louisfb01/Best_AI_paper_2020. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources provide code and clear explanations for state-of-the-art machine learning papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Distill.pub
    3. The Gradient
    4. Towards Data Science
    5. GitHub
    6. Hugging Face (huggingface/transformers)
    7. arXiv

    AI recommended 7 alternatives but never named louisfb01/Best_AI_paper_2020. 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 louisfb01/Best_AI_paper_2020?
    pass
    AI did not name louisfb01/Best_AI_paper_2020 — 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 louisfb01/Best_AI_paper_2020 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named louisfb01/Best_AI_paper_2020 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 louisfb01/Best_AI_paper_2020 solve, and who is the primary audience?
    pass
    AI did not name louisfb01/Best_AI_paper_2020 — 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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  • Brand-free category queries5 vs 2 in Lite
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