Prépublication
· 2026 arXiv
EN
We investigate the impact of applying the uninformative Jeffreys prior in a re-analysis of DESI DR2 BAO, Planck 2018 CMB, and Type Ia Supernovae (DES-SN5YR, DES-Dovekie, Pantheon+, Union3). We incorporate this prior into new posterior inference and evidence ca...
Joshua Layton, Alex Hall et al.
#astro-ph.CO
Document numérisé
· 1542 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1542. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1546 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1546. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1546 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1546. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
Document numérisé
· 1550 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1550. Thème : voyage. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Voyage
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
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
A reasoning trace can accompany a correct answer without providing effective supervision for a particular student. We study how to construct traces that improve learning beyond answer-only supervision by considering both their intermediate content and their ac...
Shaoang Li, Yanhang Shi et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimization. AI agents can increasingly propose new experiments, but existing SDLs can only run the procedures they were built for. Adapting them to a ne...
Jiaru Bai, Yuchi Zhao et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Speculative decoding typically characterizes speedup by draft tokens accepted per verification round. Lossless verification preserves the target model's output distribution and thus expected completion length, making this metric a meaningful efficiency proxy....
Chiatzen Wang, Bill Xu et al.
#cs.CL