Zobrazeno 1 - 10
of 13 325
pro vyhledávání: '"P Negri"'
The concentration-virial mass (c-M) relation is a fundamental scaling relation within the standard cold dark matter ($\Lambda$CDM) framework well established in numerical simulations. However, observational constraints of this relation are hampered b
Externí odkaz:
http://arxiv.org/abs/2411.08956
Evaluating cosmological simulations of galaxy formation with spectral variance in the optical window
Autor:
Sharbaf, Z., Ferreras, I., Negri, A., Angthopo, J., Vecchia, C. Dalla, Lahav, O., Somerville, R. S.
Cosmological hydrodynamical simulations provide valuable insights on galaxy evolution when coupled with observational data. Comparisons with real galaxies are typically performed via scaling relations of model fitting. Here we follow an alternative a
Externí odkaz:
http://arxiv.org/abs/2411.08945
Autor:
Ahmad, Ibrahim Said, Anastasopoulos, Antonios, Bojar, Ondřej, Borg, Claudia, Carpuat, Marine, Cattoni, Roldano, Cettolo, Mauro, Chen, William, Dong, Qianqian, Federico, Marcello, Haddow, Barry, Javorský, Dávid, Krubiński, Mateusz, Lam, Tsz Kin, Ma, Xutai, Mathur, Prashant, Matusov, Evgeny, Maurya, Chandresh, McCrae, John, Murray, Kenton, Nakamura, Satoshi, Negri, Matteo, Niehues, Jan, Niu, Xing, Ojha, Atul Kr., Ortega, John, Papi, Sara, Polák, Peter, Pospíšil, Adam, Pecina, Pavel, Salesky, Elizabeth, Sethiya, Nivedita, Sarkar, Balaram, Shi, Jiatong, Sikasote, Claytone, Sperber, Matthias, Stüker, Sebastian, Sudoh, Katsuhito, Thompson, Brian, Turchi, Marco, Waibel, Alex, Watanabe, Shinji, Wilken, Patrick, Zemánek, Petr, Zevallos, Rodolfo
This paper reports on the shared tasks organized by the 21st IWSLT Conference. The shared tasks address 7 scientific challenges in spoken language translation: simultaneous and offline translation, automatic subtitling and dubbing, speech-to-speech t
Externí odkaz:
http://arxiv.org/abs/2411.05088
Autor:
Fucci, Dennis, Gaido, Marco, Savoldi, Beatrice, Negri, Matteo, Cettolo, Mauro, Bentivogli, Luisa
Spurred by the demand for interpretable models, research on eXplainable AI for language technologies has experienced significant growth, with feature attribution methods emerging as a cornerstone of this progress. While prior work in NLP explored suc
Externí odkaz:
http://arxiv.org/abs/2411.01710
Autor:
Negri, Ilia, Mezzetti, Maura
A discussion on the readiness of Italian universities to address gender-related issues from a regional standpoint is proposed. A statistical analysis is conducted on data of all scholars enrolled in Italian universities from 2000 to 2023 to investiga
Externí odkaz:
http://arxiv.org/abs/2411.00050
Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or inform how they might be impacted by biased technologies. Current eva
Externí odkaz:
http://arxiv.org/abs/2410.00545
MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languages
Autor:
Gaido, Marco, Papi, Sara, Bentivogli, Luisa, Brutti, Alessio, Cettolo, Mauro, Gretter, Roberto, Matassoni, Marco, Nabih, Mohamed, Negri, Matteo
The rise of foundation models (FMs), coupled with regulatory efforts addressing their risks and impacts, has sparked significant interest in open-source models. However, existing speech FMs (SFMs) fall short of full compliance with the open-source pr
Externí odkaz:
http://arxiv.org/abs/2410.01036
Autor:
D'Amico, Francesco, Negri, Matteo
Transformers are one of the most successful architectures of modern neural networks. At their core there is the so-called attention mechanism, which recently interested the physics community as it can be written as the derivative of an energy functio
Externí odkaz:
http://arxiv.org/abs/2409.16112
Autor:
Evangelista, Y., Fiore, F., Campana, R., Baroni, G., Ceraudo, F., Della Casa, G., Demenev, E., Dilillo, G., Fiorini, M., Ghirlanda, G., Grassi, M., Guzmán, A., Hedderman, P., Marchesini, E. J., Morgante, G., Mele, F., Nava, L., Nogara, P., Nuti, A., Caballero, S. Pliego, Rashevskaya, I., Russo, F., Sottile, G., Lavagna, M., Colagrossi, A., Silvestrini, S., Quirino, M., Bechini, M., Brandonisio, A., De Cecio, F., Dottori, A., Troisi, i., Bertacin, R., Bellutti, P., Bertuccio, G., Burderi, L., Chen, T., Citossi, M., Di Salvo, T., Feroci, M., Ficorella, F., Gao, N., Grappasonni, C., Labanti, C., La Rosa, G., Leone, W., Malcovati, P., Negri, B., Pepponi, G., Perri, M., Piazzolla, R., Picciotto, A., Pirrotta, S., Puccetti, S., Rashevsky, A., Riggio, A., Rinaldi, M., Sanna, A., Santangelo, A., Tenzer, C., Tiberia, A., Trenti, M., Trevisan, S., Vacchi, A., Xiong, S., Zampa, G., Zampa, N., Zhang, S., Zorzi, N., Ripa, J., Werner, N.
Publikováno v:
Proceedings Volume 13093, Space Telescopes and Instrumentation 2024: Ultraviolet to Gamma Ray; 130931Z (2024)
HERMES (High Energy Rapid Modular Ensemble of Satellites) Pathfinder is a space-borne mission based on a constellation of six nano-satellites flying in a low-Earth orbit (LEO). The 3U CubeSats, to be launched in early 2025, host miniaturized instrume
Externí odkaz:
http://arxiv.org/abs/2409.00989
We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE covers 12 languages from different families and inherits from MASSIVE
Externí odkaz:
http://arxiv.org/abs/2408.03900