Zobrazeno 1 - 10
of 13 226
pro vyhledávání: '"A. Scales"'
Autor:
J. Brierley, A. Pérez-Blanco, J. Stojanovic, N. Kessaris, A. Scales, A. Paessler, N. Jansen, A. Briki, D. Gardiner, D. Shaw
Publikováno v:
Frontiers in Transplantation, Vol 3 (2024)
Externí odkaz:
https://doaj.org/article/d11f7c3fee15467784775ca404b5a132
Autor:
Shi, Freda, Chen, Xinyun, Misra, Kanishka, Scales, Nathan, Dohan, David, Chi, Ed, Schärli, Nathanael, Zhou, Denny
Large language models have achieved impressive performance on various natural language processing tasks. However, so far they have been evaluated primarily on benchmarks where all information in the input context is relevant for solving the task. In
Externí odkaz:
http://arxiv.org/abs/2302.00093
Autor:
Singhal, Karan, Azizi, Shekoofeh, Tu, Tao, Mahdavi, S. Sara, Wei, Jason, Chung, Hyung Won, Scales, Nathan, Tanwani, Ajay, Cole-Lewis, Heather, Pfohl, Stephen, Payne, Perry, Seneviratne, Martin, Gamble, Paul, Kelly, Chris, Scharli, Nathaneal, Chowdhery, Aakanksha, Mansfield, Philip, Arcas, Blaise Aguera y, Webster, Dale, Corrado, Greg S., Matias, Yossi, Chou, Katherine, Gottweis, Juraj, Tomasev, Nenad, Liu, Yun, Rajkomar, Alvin, Barral, Joelle, Semturs, Christopher, Karthikesalingam, Alan, Natarajan, Vivek
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but the quality bar for medical and clinical applications is high. Today, attempts to assess models' clinical knowledge typically
Externí odkaz:
http://arxiv.org/abs/2212.13138
Autor:
Xiao, Christina1, Scales, James2,3, Chavda, Jasmine3,4, Dove, Rosamund E.2,3, Tsocheva, Ivelina3,4, Wood, Helen E.2,3, Kalsi, Harpal2,3, Sartori, Luke2, Colligan, Grainne2,5, Moon, Jessica6, Lie, Esther6, Petrovic, Kristian6, Day, Bill3, Howett, Cheryll3, Keighley, Amanda3, Mihaylova, Borislava2,7,8, Toffolutti, Veronica3,7, Grigg, Jonathan9, Randhawa, Gurch3,4, Sheikh, Aziz3,10,11
Publikováno v:
International Journal of Behavioral Nutrition & Physical Activity. 9/5/2024, Vol. 21 Issue 1, p1-13. 13p.
Autor:
Suzgun, Mirac, Scales, Nathan, Schärli, Nathanael, Gehrmann, Sebastian, Tay, Yi, Chung, Hyung Won, Chowdhery, Aakanksha, Le, Quoc V., Chi, Ed H., Zhou, Denny, Wei, Jason
BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks believed to be beyond the capabilities of current language models. Language models have already made good progress on this benchmark, with the best model in the B
Externí odkaz:
http://arxiv.org/abs/2210.09261
Autor:
Drozdov, Andrew, Schärli, Nathanael, Akyürek, Ekin, Scales, Nathan, Song, Xinying, Chen, Xinyun, Bousquet, Olivier, Zhou, Denny
Humans can reason compositionally when presented with new tasks. Previous research shows that appropriate prompting techniques enable large language models (LLMs) to solve artificial compositional generalization tasks such as SCAN. In this work, we i
Externí odkaz:
http://arxiv.org/abs/2209.15003
Autor:
McCarter, Susan, author, Drew, Vanessa, author, Scales, Saliseah, author, Mathews, Keshawn, author
Publikováno v:
Handbook of Forensic Social Work : Theory, Policy, and Fields of Practice, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197694732.003.0019
Publikováno v:
J. Math. Phys. 1 February 2024
The paper interprets the cubic nonlinear Schr\"odinger equation as a Hamiltonian system with infinite dimensional phase space. There is a Gibbs measure which is invariant under the flow associated with the canonical equations of motion. The logarithm
Externí odkaz:
http://arxiv.org/abs/2205.12868
Autor:
Zhou, Denny, Schärli, Nathanael, Hou, Le, Wei, Jason, Scales, Nathan, Wang, Xuezhi, Schuurmans, Dale, Cui, Claire, Bousquet, Olivier, Le, Quoc, Chi, Ed
Chain-of-thought prompting has demonstrated remarkable performance on various natural language reasoning tasks. However, it tends to perform poorly on tasks which requires solving problems harder than the exemplars shown in the prompts. To overcome t
Externí odkaz:
http://arxiv.org/abs/2205.10625
Autor:
Gershengorn, Hayley B., Garland, Allan, Costa, Deena K., Dzierba, Amy L., Fowler, Robert, Kramer, Andrew A., Liu, Vincent X., Lizano, Danny, Scales, Damon C., Wunsch, Hannah
Publikováno v:
In Chest October 2024 166(4):743-753