Zobrazeno 1 - 10
of 8 777
pro vyhledávání: '"Eicher A"'
Autor:
Szymanski, Annalisa, Ziems, Noah, Eicher-Miller, Heather A., Li, Toby Jia-Jun, Jiang, Meng, Metoyer, Ronald A.
The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs offers a promising method for assessing model performance across various contexts. Previous research indicates that LLM-as-a-judge exhibits a strong correlation wi
Externí odkaz:
http://arxiv.org/abs/2410.20266
In a recent work, we calculated all three-loop diagrams contributing to the decay amplitude for $b \to s \gamma$ where none of the gluons touch the $b$-leg. In the present paper, we complete the calculation by working out all remaining three-loop dia
Externí odkaz:
http://arxiv.org/abs/2407.17270
Autor:
Huang, Yuning, Hassan, Mohamed Abul, He, Jiangpeng, Higgins, Janine, McCrory, Megan, Eicher-Miller, Heather, Thomas, Graham, Sazonov, Edward O, Zhu, Fengqing Maggie
Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging problem where human-based reviewing can be tedious, and algorithm-based re
Externí odkaz:
http://arxiv.org/abs/2405.07827
Autor:
Eicher, J. E., Irgolič, R. F.
Large Language Models (LLMs) like gpt-3.5-turbo-0613 and claude-instant-1.2 are vital in interpreting and executing semantic tasks. Unfortunately, these models' inherent biases adversely affect their performance Particularly affected is object select
Externí odkaz:
http://arxiv.org/abs/2402.01740
Autor:
EICHER, DAVID J. (AUTHOR)
Publikováno v:
Discover. Nov/Dec2024, Vol. 45 Issue 6, p54-57. 3p. 3 Black and White Photographs, 2 Cartoon or Caricatures.
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 11, Pp 1-16 (2024)
Abstract In a recent work, we calculated all three-loop diagrams contributing to the decay amplitude for b → sγ where none of the gluons touch the b-leg. In the present paper, we complete the calculation by working out all remaining three-loop dia
Externí odkaz:
https://doaj.org/article/3ba96ac4ebe04688a864c0359a042dc7
Deep learning based food recognition has achieved remarkable progress in predicting food types given an eating occasion image. However, there are two major obstacles that hinder deployment in real world scenario. First, as new foods appear sequential
Externí odkaz:
http://arxiv.org/abs/2307.00183
Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image. However, food image predictions in a real world scenario are usually long-tail distributed among different food classes,
Externí odkaz:
http://arxiv.org/abs/2210.14748
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Patients with fewer socioeconomic and health literacy resources are disadvantaged in their access and use of healthcare, which may give rise to worse experiences with care and thus inequalities in patient experiences. However, onl
Externí odkaz:
https://doaj.org/article/2c8e877af1754927bae96f67267373b7
Autor:
Nils Graber, Nina Canova, Denise Bryant‐Lukosius, Glenn Robert, Blanca Navarro‐Rodrigo, Lionel Trueb, George Coukos, Manuela Eicher, Tourane Corbière, Sara Colomer‐Lahiguera
Publikováno v:
Health Expectations, Vol 27, Iss 4, Pp n/a-n/a (2024)
Abstract Background Experience‐Based Co‐Design (EBCD) is a multi‐stage participatory action research process which was developed originally to increase patient involvement in service improvement initiatives. This viewpoint article serves as a r
Externí odkaz:
https://doaj.org/article/e5a2fa5990d74831bfb54e5f43fc3ac0