Document numérisé
· 1763 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1763. Thème : botanique. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Botanique
Document numérisé
· 1763 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1763. Thème : botanique. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Botanique
Document numérisé
· 1508 Gallica (BnF)
FR
Document numérisé par la Bibliothèque nationale de France, publié en 1508. Thème : atlas. Consultable en ligne sur Gallica.
Bibliothèque nationale de France
#Atlas
Prépublication
· 2026 arXiv
EN
Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many practical problems th...
Andi Gu, Alek H. Kemeny et al.
#quant-ph
Prépublication
· 2026 arXiv
EN
Mixture-of-experts (MoE) models have become an important approach for scaling model parameters. Modern MoE architectures increasingly combine two design choices: fine-grained expert segmentation and shared experts. The former increases expressiveness by enabli...
Bingcong Li, Hao Ma et al.
#cs.LG
Prépublication
· 2026 arXiv
EN
Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambiguous requirements, work in liv...
Dongxu Yang, Hongda Yan et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
How can robots autonomously collect the contact-rich experience needed to learn dexterous manipulation? We present DSP: Dexterity from supervised play, a framework in which a robot learns a play policy from minutes of human play through behavior cloning, then...
Botao He, Yiming Dou et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
Deep search agents solve knowledge-intensive tasks through long-horizon, multi-turn interactions, where assigning credit to individual search decisions is fundamentally difficult. Outcome-based reinforcement learning provides only a single terminal reward shar...
Siqi Chen, Zhengxi Lu et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Continuous diffusion language models (CDLMs) offer an alternative approach to parallel language generation; however, most existing studies directly use transformer architectures from either causal large language models (LLMs) or Diffusion Transformers (DiTs) f...
Weijian Luo, Yujian Chen et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
The shape of an exoplanet encodes fundamental information about its internal structure. For close-in giant planets, strong stellar tidal forces induce measurable deformations that can be probed through high-precision photometry. These deformations are quantifi...
Vanesa Ramirez, Yamila Miguel et al.
#astro-ph.EP
Prépublication
· 2026 arXiv
EN
Our understanding of complex organic chemistry during the formation of stars and planets is shaped by a handful of cherry-picked sources with bright molecular emission lines. This observational bias impedes our assessment of how universal chemical complexity i...
Maria N. Drozdovskaya, Timea Csengeri et al.
#astro-ph.IM
Prépublication
· 2026 arXiv
EN
Venus and Mars are unique laboratories for understanding the evolution and diversity of terrestrial planets. Despite their broadly similar rocky compositions, their atmospheres, climates, and surface environments have evolved into dramatically different states...
Hideo Sagawa, Arianna Piccialli et al.
#astro-ph.IM