REPOGEO REPORT · LITE
benedekrozemberczki/awesome-gradient-boosting-papers
Default branch master · commit 189d4f57 · scanned 6/24/2026, 8:51:52 PM
GitHub: 1,051 stars · 166 forks
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.
3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 benedekrozemberczki/awesome-gradient-boosting-papers, 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.
- highreadme#1Reposition README opening to explicitly state 'awesome list' nature
Why:
CURRENTA curated list of gradient and adaptive boosting papers with implementations from the following conferences:
COPY-PASTE FIXThis is an awesome list: a curated collection of gradient and adaptive boosting research papers, including implementations, from leading conferences:
- mediumtopics#2Add 'awesome-list' and 'research-papers' to repository topics
Why:
CURRENTadaboost, boosting, catboost, classification-algorithm, classification-tree, classification-trees, classifier, decision-tree, deep-learning, gradient-boosted-trees, gradient-boosting, gradient-boosting-classifier, gradient-boosting-decision-trees, gradient-boosting-machine, h2o, lightgbm, machine-learning, random-forest, xgboost, xgboost-algorithm
COPY-PASTE FIXadaboost, boosting, catboost, classification-algorithm, classification-tree, classification-trees, classifier, decision-tree, deep-learning, gradient-boosted-trees, gradient-boosting, gradient-boosting-classifier, gradient-boosting-decision-trees, gradient-boosting-machine, h2o, lightgbm, machine-learning, random-forest, xgboost, xgboost-algorithm, awesome-list, research-papers, machine-learning-papers
- lowabout#3Add homepage URL to the repository's About section
Why:
COPY-PASTE FIXhttps://github.com/benedekrozemberczki/awesome-gradient-boosting-papers
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.
- arXiv.org · recommended 2×
- Google Scholar · recommended 1×
- Microsoft Academic · recommended 1×
- NeurIPS · recommended 1×
- ICML · recommended 1×
- CATEGORY QUERYWhere can I find recent academic papers on advanced ensemble boosting techniques?you: not recommendedAI recommended (in order):
- arXiv.org
- Google Scholar
- Microsoft Academic
- NeurIPS
- ICML
- KDD
- AAAI
- IJCAI
- Journal of Machine Learning Research (JMLR)
- Machine Learning (Springer journal)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- ResearchGate
- Academia.edu
AI recommended 13 alternatives but never named benedekrozemberczki/awesome-gradient-boosting-papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking comprehensive resources for understanding the latest innovations in gradient-based machine learning.you: not recommendedAI recommended (in order):
- arXiv.org
- Distill.pub
- Papers With Code
- DeepLearning.AI
- The Gradient
- Google AI Blog
- Meta AI Blog
- OpenAI Blog
- Dive into Deep Learning (d2l-ai/d2l-en)
AI recommended 9 alternatives but never named benedekrozemberczki/awesome-gradient-boosting-papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 benedekrozemberczki/awesome-gradient-boosting-papers?passAI did not name benedekrozemberczki/awesome-gradient-boosting-papers — 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 benedekrozemberczki/awesome-gradient-boosting-papers in production, what risks or prerequisites should they evaluate first?passAI did not name benedekrozemberczki/awesome-gradient-boosting-papers — 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?
- In one sentence, what problem does the repo benedekrozemberczki/awesome-gradient-boosting-papers solve, and who is the primary audience?passAI did not name benedekrozemberczki/awesome-gradient-boosting-papers — 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?
Embed your GEO score
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benedekrozemberczki/awesome-gradient-boosting-papers — 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