Document numérisé
· 1735 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1735. Thème : chimie. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Chimie
Document numérisé
· 1735 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1735. Thème : chimie. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Chimie
Prépublication
· 2026 arXiv
EN
Axion-like particles are light pseudoscalars that appear in many extensions of the Standard Model and are candidates for dark matter. Through their mixing with photons, they imprint energy dependent modulations on the spectra of astrophysical sources shining t...
Oleksandr Khasai, Lidiia Zadorozhna et al.
#astro-ph.HE
Prépublication
· 2026 arXiv
EN
Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language models (LLMs), but it needs training data that are long, diverse, challenging, and verifiable. Human annotation of such data is expensive, naturally occu...
Zhennan Wan, Jianfei Chen
#cs.CL
Prépublication
· 2026 arXiv
EN
Consensus is a fundamental problem in distributed computing and at the core of state machine replication (SMR). Despite decades of active human research, discovering practical low-latency solutions to the problem is still open, as it requires combining protoco...
Clément Burgelin, Rachid Guerraoui et al.
#cs.DC
Prépublication
· 2026 arXiv
EN
Despite recent advances, current AI systems remain highly susceptible to domain shifts, particularly in biomedical imaging, where images are usually acquired under substantially different experimental conditions. Although recent domain adaptation methods have...
Sonja Topf, Ana Sanchez-Fernandez et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Many NP-complete (NPC) problems have a polynomial-time (P) twin that differs in a single structural detail, such as 3- versus 2-colouring a graph. A model that reasons rather than recalls should notice which side of this boundary a problem falls on, yet existi...
Nurul Labib Sayeedi, Md. Faiyaz Abdullah Sayeedi et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Reinforcement Learning with Human Feedback (RLHF) has become a central paradigm for aligning Large Language Models with human values. However, the reliance on sensitive preference data necessitates rigorous differential privacy (DP) guarantees to prevent user...
Meng Ding, Mingxi Lei et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Vision-language-action (VLA) models have shown promise in robotic manipulation, but imitation learning (IL) alone often struggles to master complex long-horizon skills. Reinforcement learning (RL) offers an effective avenue for further improving VLA policies....
Likui Zhang, Zhe Zhu et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Perimeter triage faces a latency/semantics trade-off: signature engines are fast and format-safe but blind to unseen attacks, while generative models are semantic but slow and produce unparseable output. In late 2026 a class of commercial System One decision m...
Juan S. Santillana
#cs.CR
Prépublication
· 2026 arXiv
EN
Data agents built on ReAct-style loops now execute complex analytical workflows over structured data, yet their intermediate reasoning still runs almost entirely through text. Human analysts instead move between numbers, tables, and charts, reading visual evid...
Xinzhe Wang, Xudong Weng et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly due to imperfect land surface representations in Earth system models. We propose a data-driven framework for high-resolution land-use reconstruction, treated...
Amirpasha Mozaffari, Marina Castaño et al.
#physics.ao-ph