Zobrazeno 1 - 10
of 17 274
pro vyhledávání: '"Kenton A"'
Autor:
Kaizad F. Patel, Kenton A. Rod, Jianqiu Zheng, Peter Regier, Fausto Machado-Silva, Ben Bond-Lamberty, Xingyuan Chen, Donnie J. Day, Kennedy O. Doro, Matthew H. Kaufman, Matthew Kovach, Nate McDowell, Sophia A. McKever, J. Patrick Megonigal, Cooper G. Norris, Teri O'Meara, Roberta B. Peixoto, Roy Rich, Peter Thornton, Kenneth M. Kemner, Nick D. Ward, Michael N. Weintraub, Vanessa L. Bailey
Publikováno v:
Geoderma, Vol 444, Iss , Pp 116854- (2024)
The coastal terrestrial-aquatic interface (TAI) is a highly dynamic system characterized by strong physical, chemical, and biological gradients. In particular, shifting soil redox conditions and consumption of terminal electron acceptors, due in part
Externí odkaz:
https://doaj.org/article/ece15c86d60f4bc6a3cb955a3d8cc263
Autor:
J. Alan Roebuck Jr., Kenton A. Rod, Vanessa A. Garayburu‐Caruso, Rosalie K. Chu, Amy E. Goldman, Lupita Renteria, Micah Taylor, James C. Stegen
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 6, Pp n/a-n/a (2024)
Abstract The hyporheic zone is a hotspot for biogeochemical cycling where interactions with mineral metals preserve the release and biodegradation of organic matter (OM). A small fraction of OM can still be exchanged between localized sediments and t
Externí odkaz:
https://doaj.org/article/963e113f251e443a9ad3aa2170c74ddb
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:
Shaw, Peter, Cohan, James, Eisenstein, Jacob, Lee, Kenton, Berant, Jonathan, Toutanova, Kristina
We propose a new programming language called ALTA and a compiler that can map ALTA programs to Transformer weights. ALTA is inspired by RASP, a language proposed by Weiss et al. (2021), and Tracr (Lindner et al., 2023), a compiler from RASP programs
Externí odkaz:
http://arxiv.org/abs/2410.18077
Autor:
Kriz, Reno, Sanders, Kate, Etter, David, Murray, Kenton, Carpenter, Cameron, Van Ochten, Kelly, Recknor, Hannah, Guallar-Blasco, Jimena, Martin, Alexander, Colaianni, Ronald, King, Nolan, Yang, Eugene, Van Durme, Benjamin
Efficiently retrieving and synthesizing information from large-scale multimodal collections has become a critical challenge. However, existing video retrieval datasets suffer from scope limitations, primarily focusing on matching descriptive but vagu
Externí odkaz:
http://arxiv.org/abs/2410.11619
Autor:
Caune, Laura, Skoric, Luka, Blunt, Nick S., Ruban, Archibald, McDaniel, Jimmy, Valery, Joseph A., Patterson, Andrew D., Gramolin, Alexander V., Majaniemi, Joonas, Barnes, Kenton M., Bialas, Tomasz, Buğdaycı, Okan, Crawford, Ophelia, Gehér, György P., Krovi, Hari, Matekole, Elisha, Topal, Canberk, Poletto, Stefano, Bryant, Michael, Snyder, Kalan, Gillespie, Neil I., Jones, Glenn, Johar, Kauser, Campbell, Earl T., Hill, Alexander D.
Quantum error correction (QEC) will be essential to achieve the accuracy needed for quantum computers to realise their full potential. The field has seen promising progress with demonstrations of early QEC and real-time decoded experiments. As quantu
Externí odkaz:
http://arxiv.org/abs/2410.05202
Data availability across domains often follows a long-tail distribution: a few domains have abundant data, while most face dat . a scarcity. This imbalance poses challenges in training language models uniformly across all domains. In our study, we fo
Externí odkaz:
http://arxiv.org/abs/2410.04579
Large language models (LLMs) have achieved remarkable success across various NLP tasks, yet their focus has predominantly been on English due to English-centric pre-training and limited multilingual data. While some multilingual LLMs claim to support
Externí odkaz:
http://arxiv.org/abs/2410.03115
Autor:
Kocmi, Tom, Avramidis, Eleftherios, Bawden, Rachel, Bojar, Ondrej, Dvorkovich, Anton, Federmann, Christian, Fishel, Mark, Freitag, Markus, Gowda, Thamme, Grundkiewicz, Roman, Haddow, Barry, Karpinska, Marzena, Koehn, Philipp, Marie, Benjamin, Murray, Kenton, Nagata, Masaaki, Popel, Martin, Popovic, Maja, Shmatova, Mariya, Steingrímsson, Steinþór, Zouhar, Vilém
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking and supersedes it. The purpose of this report is not to interpret any
Externí odkaz:
http://arxiv.org/abs/2407.19884
With Retrieval Augmented Generation (RAG), Large Language Models (LLMs) are playing a pivotal role in information search and are being adopted globally. Although the multilingual capability of LLMs offers new opportunities to bridge the language barr
Externí odkaz:
http://arxiv.org/abs/2407.05502