output
20062026
most citedTransformers are RNNs: Fast Autoregressive Transformers with Linear Attention

310 citations

216 papers

math.PR2026

Coupling some conditioned L{é}vy trees with the Kesten tree

Romain Abraham, Jean-François Delmas

We consider locally compact L{é}vy trees conditioned to be large, with respect to different criterion: its height, its maximal ''size'' vertex and its total ''mass''. In the critic…

math.AP2026

Uniqueness and non-uniquess for the mean field control of fisheries

Greta Lamonaca, Idriss Mazari, Grégoire Nadin

We study a Mean Field Control system arising in the management of fisheries with a special emphasis on non-uniqueness issues. Namely, we focus on a situation where a group of playe…

cs.RO2026

G-MAPP: GPU-accelerated Multi-Agent Planning and Perception for Reactive Motion Generation

Tanmay Bishnoi, Riddhiman Laha, Tobias Löw +3

Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the computational complexity of collision-free motion generation, existing met…

math.PR2026

The -th nearest neighbor random walk on a Poisson point process gets trapped

Anne-Laure Basdevant, David Coupier, Jean-Baptiste Gouéré +1

The -th nearest neighbor random walk on a homogeneous Poisson point process on (), starts at the origin and at each step picks its next Po…

cs.CL2026

Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretation

David Alonso del Barrio, Jing Wen, Daniel Gatica-Perez

Frame analysis of migration news is a socially consequential task: media scholars and researchers who study how migration is narrated need tools that are not only accurate, but tra…

cs.CY2026

FAccT-Checked: A Narrative Review of Authority Reconfigurations and Retention in AI-Mediated Journalism

Stefano Sorrentino, Matilde Barbini, Daniel Gatica-Perez

Building on recent interpretivist approaches, we conduct a critical narrative review across journalism studies, human-computer interaction, and FAccT scholarship, conceptualizing e…