Zobrazeno 1 - 10
of 16 443
pro vyhledávání: '"COLLINS, MICHAEL A."'
Autor:
Llama, Joe, Zhao, Lily L., Brewer, John M., Szymkowiak, Andrew, Fischer, Debra A., Collins, Michael, Tiegs, Jake, Cornelius, Frank
The signal induced by a temperate, terrestrial planet orbiting a Sun-like star is an order of magnitude smaller than the host stars' intrinsic variability. Understanding stellar activity is, therefore, a fundamental obstacle in confirming the smalles
Externí odkaz:
http://arxiv.org/abs/2407.07967
Autor:
BROWN, MARCY L.
Publikováno v:
Journal of Assessment and Institutional Effectiveness, 2020 Jan 01. 10(1/2), 114-116.
Externí odkaz:
https://www.jstor.org/stable/48678608
Autor:
Bohnet, Bernd, Swersky, Kevin, Liu, Rosanne, Awasthi, Pranjal, Nova, Azade, Snaider, Javier, Sedghi, Hanie, Parisi, Aaron T, Collins, Michael, Lazaridou, Angeliki, Firat, Orhan, Fiedel, Noah
We explore the use of long-context capabilities in large language models to create synthetic reading comprehension data from entire books. Previous efforts to construct such datasets relied on crowd-sourcing, but the emergence of transformers with a
Externí odkaz:
http://arxiv.org/abs/2406.00179
Autor:
VROON, DONALD R.
Publikováno v:
American Record Guide. Sep/Oct2024, Vol. 87 Issue 5, p93-94. 2p.
Autor:
JOYCE, JUSTIN A.
Publikováno v:
Great Plains Quarterly, 2019 Jul 01. 39(3), 319-320.
Externí odkaz:
https://www.jstor.org/stable/26757629
Autor:
Díaz, George T.
Publikováno v:
The Southwestern Historical Quarterly, 2019 Apr 01. 122(4), 471-472.
Externí odkaz:
https://www.jstor.org/stable/26633958
Autor:
Collins, Michael, Deshmukh, Jyotirmoy V., Dinesh, Dristi, Raghothaman, Mukund, Ravi, Srivatsan, Xia, Yuan
Network security analysts gather data from diverse sources, from high-level summaries of network flow and traffic volumes to low-level details such as service logs from servers and the contents of individual packets. They validate and check this data
Externí odkaz:
http://arxiv.org/abs/2403.01314
Autor:
Jacovi, Alon, Bitton, Yonatan, Bohnet, Bernd, Herzig, Jonathan, Honovich, Or, Tseng, Michael, Collins, Michael, Aharoni, Roee, Geva, Mor
Prompting language models to provide step-by-step answers (e.g., "Chain-of-Thought") is the prominent approach for complex reasoning tasks, where more accurate reasoning chains typically improve downstream task performance. Recent literature discusse
Externí odkaz:
http://arxiv.org/abs/2402.00559
Autor:
Mudgal, Sidharth, Lee, Jong, Ganapathy, Harish, Li, YaGuang, Wang, Tao, Huang, Yanping, Chen, Zhifeng, Cheng, Heng-Tze, Collins, Michael, Strohman, Trevor, Chen, Jilin, Beutel, Alex, Beirami, Ahmad
KL-regularized reinforcement learning (RL) is a popular alignment framework to control the language model responses towards high reward outcomes. We pose a tokenwise RL objective and propose a modular solver for it, called controlled decoding (CD). C
Externí odkaz:
http://arxiv.org/abs/2310.17022
Autor:
Scott, Bruce
Publikováno v:
Cliodynamics, Vol 6, Iss 2, Pp 147-194 (2016)
Externí odkaz:
https://doaj.org/article/6f079441e69c473e8794c92f30c6eaeb