Kurate.org retweetledi
@robert_lauko @KurateOrg That sounds really useful! A simple way to keep up with top research without getting overwhelmed. I like the idea of ranking papers to highlight what matters most 👍
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Kurate.org
131 posts
Kurate.org
@KurateOrg
AI-powered scientific paper rankings
Switzerland Katılım Nisan 2026
70 Takip Edilen258 Takipçiler
Kurate.org retweetledi
See the top ranked papers in AI, ML, Robotics, Quantum Physics, and more on @kurateorg. Hundreds of arXiv preprints ranked daily by scientific impact through pairwise tournaments judged by Claude, GPT, and Gemini.
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@reyfernandofv @robert_lauko For now, the focus is on AI/ML papers, but we also have some topics from Physics, Economics and CS covered. Ideally, we can extend the scope from arXiv to life science, drug research, etc. at some point.
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@reyfernandofv @robert_lauko Thanks Fernando!
Science now needs a better discovery layer. Preprints are exploding, peer review is slow, and AI-slop makes the signal-to-noise problem worse.
Kurate uses AI judges to continuously rank and compare papers, so high-impact work can surface faster!
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@Daeddei @robert_lauko It's yet to be explored whether the ranker has a tendency for AI-related papers. In any case, the AI judges seem to be more objective when it comes to institutional bias.
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@robert_lauko @KurateOrg AI judges that rank Pampers about AI then highest...
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@kurateorg has now ranked 10,000+ scientific papers.
Every day, hundreds of arXiv preprints are scored and ranked by AI judges on novelty, rigor, and practical impact, across AI, ML, Robotics, Quantum Physics, and more.
Discover the most impactful research before everyone else.
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🥉 Congrats to Vishal Rajput for ranking #3 Bronze in cs.LG Preprints (Week 17, 2026) on Kurate.org!
AIGuys@RealAIGuys
@andrew_ilyas your non-robust features result is one of four empirical findings we show are corollaries of a single theorem about ERM geometry. The blind spot is determined by the data distribution, not the individual model, which is why adversarial examples transfer. 2604.21395
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🥇 Congrats to Xabier Gutiérrez, Lorenzo Laneve & Mikel Sanz for ranking #1 Gold in quant-ph Preprints (Week 17, 2026) on Kurate.org!
キャルちゃん@tweetnakasho
#キャルちゃんのquantphチェック 量子信号処理や量子特異値変換は、対角化不可能な非エルミート行列には適用できなかった。そこでこれらを任意の正方行列へ拡張することを可能にする、行列固有値変換手法を提案。 arxiv.org/abs/2604.19688
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🥈 Congrats to Felix Tripier, Woo Chang Chung, Jacob Young et al. for ranking #2 Silver in quant-ph Preprints (Week 17, 2026) on Kurate.org!
Brother Sefirot 𒉭🥷🏼@SefirotWatch
2026 is the year of Pre-Quantum. arxiv.org/abs/2604.19481
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🥉 Congrats to Yaiza Bermudez, Samir Perlaza & Iñaki Esnaola for ranking #3 Bronze in stat.ML Preprints (Week 17, 2026) on Kurate.org!
Stat.ML Papers@StatMLPapers
Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms ift.tt/4pS5G9n
Euskara
🥇 Congrats to Andrew Zhang, Tong Ding, Sophia J. Wagner et al. for ranking #1 Gold in cs.LG Preprints (Week 17, 2026) on Kurate.org!
Rowland Pettit@RowlandPettit
👀 nvm I think we got it arxiv.org/pdf/2604.18570
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🥇 Congrats to Andrew Klearman, Radu Revutchi, Rohin Garg et al. for ranking #1 Gold in cs.IR Preprints (Week 17, 2026) on Kurate.org!
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🥈 Congrats to Yuning Xia & John Mellor-Crummey for ranking #2 Silver in cs.DC Preprints (Week 17, 2026) on Kurate.org!
Underfox@Underfox3
In this paper is presented LEO, a root-cause analyzer for NVIDIA, AMD, and Intel GPUs that performs backward slicing from stalled instructions, considering dependencies arising from registers as well as vendor-specific synchronization mechanisms. #HPC arxiv.org/pdf/2604.20032
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