Prépublication
· 2026 arXiv
EN
A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy (ZAP), a recipe that teaches a small off-the-shelf vision-language mode...
Benjamin Pikus, Daniel Saunders et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capable artificial intelligence (AI). Before AI, a well-written research paper with a strong t...
Saptarshi Pal, Peter S. Park
#cs.AI
Prépublication
· 2026 arXiv
EN
Deep research, or any use of large language models (LLMs) to read a large document collection and produce insights, requires synthesizing information from different sources. In this work, we find that LLMs produce long-form research reports that read as confid...
Tiasa Singha Roy, Manya Wadhwa et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Context. The DART impact might have substantially modified the surface and near-surface structure of Dimorphos, affecting the morphology and gravity field that is to be measured by ESA's Hera mission. Aims. We investigate the post-impact redistribution of ejec...
S. D. Raducan, Ö. Karatekin et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
The problem of predicting when a multi-planet system will become dynamically unstable has defied analytical progress over the past three hundred years. Recent machine learning advances achieve high predictive performance of instability dynamics, but as black-b...
Simon Alford, Edward Gu et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
The knowledge of Titan's near-surface atmosphere is sparse. The Huygens descent probe measured winds, and the multiple dune field observations and possible dust storms suggest active near-surface dynamics. The Dragonfly rotorcraft lander will fly close to the...
Maxence Lefèvre, Léa E. Bonnefoy et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
We investigate the three-dimensional (3D) stellar mass profiles of galaxy clusters using simulations and observations. We develop the Projection-to-Enclosed Estimator by Layers (PEEL) model, which geometrically reconstructs the 3D stellar mass profile from the...
Jong-In Park, Jubee Sohn et al.
#astro-ph.GA
Prépublication
· 2026 arXiv
EN
We measure the dipole in the count of radio galaxies over the sky as seen by the Australian SKA Pathfinder (ASKAP) in the Rapid ASKAP Continuum Survey (RACS). Our analysis focuses on the third observational epoch in the 'low' passband (943.5 MHz; RACS-low3) an...
Oliver T. Oayda, Mali Land-Strykowski et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
We explore effective field theory (EFT) realizations of the dark dimension (DD) scenario in which the size of the DD is determined by the competition between a 5D quintessence potential and the Casimir energy. When only contributions from massless fields are c...
Rashmikanta Mantry, Kazuyuki Furuuchi
#hep-th
Prépublication
· 2026 arXiv
EN
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between gene...
James E. Dobson
#cs.CL
Prépublication
· 2026 arXiv
EN
Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions. Existing robust RL algorithms offer a rich set of mechanisms and principles, yet two major barriers limit their bro...
Xi Chen, Fengqi Hu et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Objective: To develop a unified vision-language model for prompt-conditioned quantitative ultrasound measurement that addresses the mismatch between continuous measurement targets and discrete token-based numerical prediction. Methods: This article presents HA...
Dianye Huang, Jiamei Guo et al.
#cs.CV