Prépublication
· 2026 arXiv
EN
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation. Here, we investigated whether task-evoked eye movements provide interpretable behavioral markers of depression s...
Youxiang Sun, Yujie Nie et al.
#eess.SP
Prépublication
· 2026 arXiv
EN
Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), eventually leading to task failures. To this end, we present...
Wei Xie, Kaituo Feng et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Large vision-language models (LVLMs) have shown strong potential for embodied vision-language navigation (VLN), yet their performance degrades on long-horizon trajectories due to context-length limits, redundant historical observations, and unstable spatial al...
Xueyao Wei, Yifei Wang et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
People increasingly bring their health questions to ChatGPT, yet safety evaluations of LLM health advice rest almost entirely on clinician-authored vignettes, synthetic prompts, or simulated user profiles. The gap is widest for the Global South, where concerns...
Shreyasi Roy Chowdhury, Kiran Garimella
#cs.CY
Prépublication
· 2026 arXiv
EN
Cloud droplets respond to turbulent motion with finite inertia and settle under gravity, while condensation and evaporation change their sizes. The nonuniform accumulation of cloud droplets in turbulent flows, known as preferential concentration, has attracted...
Zi-Mo Liao
#physics.flu-dyn
Prépublication
· 2026 arXiv
EN
Fronts, eddies, jets, and meanders populate the ocean surface and play a key role in organizing transport and mixing across a wide range of scales. From a Lagrangian perspective, frontal structures are conveniently detected as surface filaments that act as bar...
Sara Cloux, Ismael Hernandez-Carrasco et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Rainfall forecasts over the Western Himalaya remain poor, and the relative contributions of the cumulus and microphysics parameterizations to that error are not well constrained.
Satyam Kumar, Akshay Sunil et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
We present HiRO-ACEv2 (High Resolution Output Ai2 Climate Emulator), a two-stage framework for AI emulation of the 3~km resolution X-SHiELD global storm-resolving model (GSRM), and highlight its ability to generate large ensembles of data for studying the char...
Anna Kwa, W. Andre Perkins et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
The Hybrid forecast covariance model is an operationally successful way to build a background error covariance matrix. It is constructed as a weighted sum, with scalar weights, of the climatological covariance matrix and a localized ensemble covariance matrix,...
Francesco Sardelli, Craig H. Bishop
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Many approaches have recently been proposed to combine data assimilation with machine learning for improved forecasts with geophysical models. Here, we focus on combining advanced sequential data assimilation schemes with a generative forecasting model which a...
Marc Bocquet, Tobias S. Finn et al.
#stat.ML
Prépublication
· 2026 arXiv
EN
Global reanalyses are too coarse to resolve the convective systems that produce most West African monsoon rainfall. In this work, we use U-Net based architectures to downscale daily ERA5 fields (0.25°) to IMERG V07 satellite precipitation (0.1°) over West Afri...
David Sagna, Redouane Lguensat et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
A potentially super El Niño is forecasted in 2026, raising the need to anticipate land carbon-cycle risks before its impacts unfold. We develop a prospective early-warning framework that uses dynamic global vegetation models driven by an ensemble of ECMWF seas...
Xiaomeng Du, Runda Jiang et al.
#physics.ao-ph