Document numérisé
· 1552 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1552. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1554 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1554. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1559 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1559. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Prépublication
· 2026 arXiv
EN
The ACSIOM workshop was held in Cambridge from 10th-12th November 2025. Its primary aims were twofold: 1) to gather UK researchers involved in Mars atmospheric science to identify current shortcomings and challenges in the field, and 2) to discuss possible col...
Benjamin Benne, Megan A. J. Brown et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
Earth system models underpin the evidence that informs net-zero policy, yet their energy demands are rarely considered when judging model quality. Using archived output from 159 models spanning five generations of the Coupled Model Intercomparison Project (CMI...
Ioana Colfescu, Annalisa Bracco et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Seasonal prediction of Yangtze summer rainfall is challenged by nonstationary oceanic precursors. Here we demonstrate that accounting for the evolution of spring SST and state-dependent land surface information improves predictability. Graph total variation (G...
Yifu Gao, Haishan Chen et al.
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
Atmospheric composition and chemistry-climate interactions are central to predicting future climate change. Yet simulating chemical and aerosol processes is typically the most expensive component of an atmospheric model and is often highly simplified or prescr...
James Weber, Makoto Kelp
#physics.ao-ph
Prépublication
· 2026 arXiv
EN
We present a model of slow-roll inflation in metric-affine gravity, where the connection is independent of the metric. We require that the Einstein-Hilbert term is the only operator that breaks three out of four shift-symmetries of the connection, and impose t...
Christian Dioguardi
#gr-qc
Prépublication
· 2026 arXiv
EN
Pixel-space diffusion models have recently re-emerged as a compelling alternative to latent diffusion, avoiding the lossy latent bottleneck and separately trained autoencoder. JiT shows that a vanilla diffusion transformer can generate directly in pixel space...
Soumik Mukhopadhyay, Long Mai et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Fine-tuning large language models (LLMs) can induce behaviors beyond those explicitly targeted. For example, training a model to respond more warmly can make it more sycophantic, and training it to write insecure code can cause broad misalignment on prompts un...
Dongyoon Hahm, Woogyeol Jin et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Reproducible and analytically robust research findings are essential to scientific progress, but evaluating these properties typically requires costly manual effort. We investigate whether LLM agents can help automate reproduction and robustness analysis, usin...
Shicheng Liu, Krista Opsahl-Ong et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Scientific discovery requires developing worthwhile hypotheses into practical investigations, yet learning from this evolving research process remains challenging. We introduce an operational definition of valuable and testable research hypotheses: evidence-gr...
Jianyuan Zhong, Chenwei Wu et al.
#cs.CL