Research radar

arXiv preprints, filtered for developer impact.

Concise summaries of new AI papers, ranked for how likely they are to change how production systems are built. arXiv collection remains rate-limited.

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http://arxiv.org/abs/2609.31612v1
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PaperAuthorsarXiv IDCategoriesPublishedCodeRadarSummary
First-Order Stationarity of Reverse DiffusionsZhifeng Chen, Chenyang Jiang, Yazhen Wanghttp://arxiv.org/abs/2609.31612v1stat.ML, cs.LGSep 25, 2026NoneScore62Recent literature has shown a strong connection between optimization and sampling. We develop...
Minimally Invasive Steering of Language ModelsTaha Entesari, Jingyu Zhang, Daniel Khashabihttp://arxiv.org/abs/2609.30218v1cs.LG, cs.AISep 24, 2026NoneScore72Pre-logit steering adapts a frozen language model to a test-time reward by adding vectors to...
Lagrangian--Hamiltonian Flows for Video Prediction and Image Generation: A Symplectic PerspectiveJiawei Huhttp://arxiv.org/abs/2609.35710v1cs.CVSep 28, 2026NoneScore60We introduce LHFM, a geometric framework for learning image dynamics. Drawing on structures c...
Position Aware Layer Queries for Test Time Training in Vision Language ModelsRajat Modi, Priyank Pathak, Xin Lianghttp://arxiv.org/abs/2609.34021v1cs.CVSep 27, 2026NoneScore60Test-Time Training (TTT) adapts models to incoming test samples (e.g. out-of-distribution, (O...
Generalization behavior of OPTQ and the role of regularizationErin George, Rayan Saabhttp://arxiv.org/abs/2609.31560v1cs.LGSep 25, 2026NoneScore72Large neural networks can be compressed by rounding or "quantizing" their weights to numbers...
Riemannian Gradient Descent for Gaussian Mixture Models with unknown diagonal covariancesRomane Giard, Yohann De Castro, Roland Denishttp://arxiv.org/abs/2609.30220v1math.OC, math.STSep 24, 2026NoneScore69This paper investigates the numerical resolution of the Beurling-LASSO (BLASSO), a convex opt...
Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculumFasika Melese, Ruiyang Wu, Xinyue Cuihttp://arxiv.org/abs/2609.31569v1cs.HC, cs.AISep 25, 2026NoneScore61Conversational AI tools are entering children's everyday experiences, and schools are interes...
A Nearly Quadratic Lower Bound for Linear Optimization over Convex Bodies in the Membership Oracle ModelSantosh S. Vempalahttp://arxiv.org/abs/2609.30215v1cs.DS, cs.LGSep 24, 2026NoneScore61We prove nearly quadratic lower bounds for randomized algorithms for linear optimization and...
Even Sharper Bounds for Transductive Learning and Its ApplicationsYingzhen Yanghttp://arxiv.org/abs/2609.28459v1cs.LG, cs.ITSep 23, 2026NoneScore63We introduce Sharper Transductive Local Complexity (STLC), a localized complexity method for...
Gap-free Differentially Private PCA for Gaussian DataAlina Ene, Huy L. Nguyenhttp://arxiv.org/abs/2609.31614v1cs.DS, cs.LGSep 25, 2026NoneScore61We give a gap-free differentially private algorithm for the principal component analysis (PCA...