Prépublication
· 2026 arXiv
EN
Recent DESI observations hint at a preference for dynamical dark energy with an equation of state that crosses the phantom divide within the Chevallier-Polarski-Linder (CPL) parameterization. In this work, we assess the consistency of the CPL parameterization...
Tian-Yang Sun, Tian-Nuo Li et al.
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Wrong automatic routing of an IT support ticket can cost more than human triage. We evaluate cost-aware abstention as an offline, cost-conditional readiness assessment: select a routing policy on calibration data under explicit costs, then evaluate that frozen...
Sachin Gupta
#cs.LG
Prépublication
· 2026 arXiv
EN
Tool-using language model agents rely on environmental facts to decide whether an action is permitted. When a tool response omits a safety-relevant fact, an agent may carry out a prohibited action even though the user request is benign and every returned state...
Qijin Zhang, Hanzhen Wang et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Chain-of-thought (CoT) prompting elicits step-by-step rationales that appear to explain model predictions, but there is no guarantee these steps causally drive the final answer. In standard autoregressive generation, dense attention allows each reasoning step...
Gabriele Dominici, Teague McMillan et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
While monolingual language model (LM) surprisal is widely established as a predictor of reading times, it cannot capture the non-native (L2) reading dynamics that are shaped by the reader's first language (L1). In this work, we investigate whether the cross-li...
Abderrahmane Issam, Irene E. Winther et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Purpose: To describe an evidence-aware retrieval evaluation protocol for a clinical retrieval-augmented generation (RAG) system over breast lesion management literature, addressing the dependence of retrieval scores on annotation coverage. Methods: An 18-docum...
Miguel Mochizuki Silva, Samuel Ismael et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Institutions that deploy large language models in regulated settings often need technical evidence of responsible AI practices before approving a deployment. COMPL-AI provides a technical interpretation of the EU AI Act that organises this evidence under six p...
Robin Quériaux, Solveig Bachellery et al.
#cs.SE
Prépublication
· 2026 arXiv
EN
Accuracy on medical examinations is common evidence offered for the clinical use of language models, yet a health system that intends to run an open model on its own hardware needs to know considerably more: whether the model recognizes when it is likely to be...
Miguel Fernandez-de-Retana, Unai Zulaika et al.
#cs.CL
Texte transcrit
Wikisource
FR
Extrait : GÉOGRAPHIE ANCIENNE ET MODERNE : Géographie comparée, faisant connaître l’état et les noms divers de chaque pays aux différentes époques ; Géographie
Wikisource
#Géographie
Prépublication
· 2026 arXiv
EN
Artificial intelligence (AI) weather models now forecast weather events skillfully, but how they represent these events internally remains unknown. Sparse autoencoders (SAEs) provide sparse features for probing hidden states, but how information about multiple...
Jiapei Liu, Ruidong Li et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Weak-lensing magnification complements cosmic shear through its effects on galaxy fluxes, sizes, and number counts. We derive the optimal magnification statistics from galaxy properties and show that the optimal measurement can be decomposed into an optimal me...
Kun Xu, Ravi K. Sheth
#astro-ph.CO
Prépublication
· 2026 arXiv
EN
Particle production from bubble collisions during First-Order Phase Transitions (FOPTs) has been studied as an efficient mechanism for baryogenesis and dark matter production, but existing semi-analytical treatments assume runaway bubbles with wall velocity $v...
Fayez Abu-Ajamieh, Amine Ahriche et al.
#hep-ph