Zobrazeno 1 - 10
of 29 077
pro vyhledávání: '"A Ginsburg"'
Autor:
Guarcello, M. G., Almendros-Abad, V., Lovell, J. B., Monsch, K., Muzic, K., Martiinez-Galarza, J. R., Drake, J. J., Anastasopoulou, K., Andersen, M., Argiroffi, C., Bayo, A., Bonito, R., Capela, D., Damiani, F., Gennaro, M., Ginsburg, A., Grebel, E. K., Hora, J. L., Moraux, E., Najarro, F., Negueruela, I., Prisinzano, L., Richardson, N. D., Ritchie, B., Robberto, M., Rom, T., Sabbi, E., Sciortino, S., Umana, G., Winter, A., Wright, N. J., Zeidler, P.
The typically large distances, extinction, and crowding of Galactic supermassive star clusters have so far hampered the identification of their very low mass members, required to extend our understanding of star and planet formation, and early stella
Externí odkaz:
http://arxiv.org/abs/2411.13051
Last passage percolation (LPP) is a model of a directed metric and a zero-temperature polymer where the main observable is a directed path evolving in a random environment accruing as energy the sum of the random weights along itself. When the enviro
Externí odkaz:
http://arxiv.org/abs/2411.08018
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts
Autor:
Lin, Yen-Ting, Yang, Chao-Han Huck, Chen, Zhehuai, Zelasko, Piotr, Yang, Xuesong, Chen, Zih-Ching, Puvvada, Krishna C, Fu, Szu-Wei, Hu, Ke, Chiu, Jun Wei, Balam, Jagadeesh, Ginsburg, Boris, Wang, Yu-Chiang Frank
Construction of a general-purpose post-recognition error corrector poses a crucial question: how can we most effectively train a model on a large mixture of domain datasets? The answer would lie in learning dataset-specific features and digesting the
Externí odkaz:
http://arxiv.org/abs/2411.05945
Autor:
Ouyang, Siqi, Hrinchuk, Oleksii, Chen, Zhehuai, Lavrukhin, Vitaly, Balam, Jagadeesh, Li, Lei, Ginsburg, Boris
Simultaneous machine translation (SMT) takes streaming input utterances and incrementally produces target text. Existing SMT methods only use the partial utterance that has already arrived at the input and the generated hypothesis. Motivated by human
Externí odkaz:
http://arxiv.org/abs/2410.22499
Autor:
Peng, Yifan, Puvvada, Krishna C., Chen, Zhehuai, Zelasko, Piotr, Huang, He, Dhawan, Kunal, Hu, Ke, Watanabe, Shinji, Balam, Jagadeesh, Ginsburg, Boris
Recent studies have augmented large language models (LLMs) with speech capabilities, leading to the development of speech language models (SpeechLMs). Earlier SpeechLMs focused on single-turn speech-based question answering (QA), where user input com
Externí odkaz:
http://arxiv.org/abs/2410.17485
Autor:
Battersby, Cara, Walker, Daniel L., Barnes, Ashley, Ginsburg, Adam, Lipman, Dani, Alboslani, Danya, Hatchfield, H Perry, Bally, John, Glover, Simon C. O., Henshaw, Jonathan D., Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Molinari, Sergio, Smith, Rowan, Sormani, Mattia C., Tress, Robin G., Zhang, Qizhou
The Central Molecular Zone (CMZ) is the largest reservoir of dense molecular gas in the Galaxy and is heavily obscured in the optical and near-IR. We present an overview of the far-IR dust continuum, where the molecular clouds are revealed, provided
Externí odkaz:
http://arxiv.org/abs/2410.17334
Autor:
Battersby, Cara, Walker, Daniel L., Barnes, Ashley, Ginsburg, Adam, Lipman, Dani, Alboslani, Danya, Hatchfield, H Perry, Bally, John, Glover, Simon C. O., Henshaw, Jonathan D., Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Molinari, Sergio, Smith, Rowan, Sormani, Mattia C., Tress, Robin G., Zhang, Qizhou
The Central Molecular Zone (CMZ) is the way station at the heart of our Milky Way Galaxy, connecting gas flowing in from Galactic scales with the central nucleus. Key open questions remain about its 3-D structure, star formation properties, and role
Externí odkaz:
http://arxiv.org/abs/2410.17332
Autor:
Lipman, Dani, Battersby, Cara, Walker, Daniel L., Sormani, Mattia C., Bally, John, Barnes, Ashley, Ginsburg, Adam, Glover, Simon C. O., Henshaw, Jonathan D., Hatchfield, H Perry, Immer, Katharina, Klessen, Ralf S., Longmore, Steven N., Mills, Elisabeth A. C., Smith, Rowan, Tress, R. G., Alboslani, Danya, Zhang, Qizhou
A comprehensive 3-D model of the central 300 pc of the Milky Way, the Central Molecular Zone (CMZ) is of fundamental importance in understanding energy cycles in galactic nuclei, since the 3-D structure influences the location and intensity of star f
Externí odkaz:
http://arxiv.org/abs/2410.17321
Autor:
Walker, Daniel L., Battersby, Cara, Lipman, Dani, Sormani, Mattia C., Ginsburg, Adam, Glover, Simon C. O., Henshaw, Jonathan D., Longmore, Steven N., Klessen, Ralf S., Immer, Katharina, Alboslani, Danya, Bally, John, Barnes, Ashley, Hatchfield, H Perry, Mills, Elisabeth A. C., Smith, Rowan, Tress, Robin G., Zhang, Qizhou
The Milky Way's Central Molecular Zone (CMZ) is the largest concentration of dense molecular gas in the Galaxy, the structure of which is shaped by the complex interplay between Galactic-scale dynamics and extreme physical conditions. Understanding t
Externí odkaz:
http://arxiv.org/abs/2410.17320
Autor:
Chen, Michael Chun-Yuan, Di Francesco, James, Friesen, Rachel K., Pineda, Jaime E., Caselli, Paola, Ginsburg, Adam, Kirk, Helen, Punanova, Anna, Collaboration, the GAS
Observations suggest that filaments in molecular clouds can grow by mass accretion while forming cores via fragmentation. Here we present one of the first large sample studies of filament accretion using velocity gradient measurements of star-forming
Externí odkaz:
http://arxiv.org/abs/2410.16372