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pro vyhledávání: '"Taylor, Alexander K"'
We seek to address a core challenge facing current Large Language Models (LLMs). LLMs have demonstrated superior performance in many tasks, yet continue to struggle with reasoning problems on explicit graphs that require multiple steps. To address th
Externí odkaz:
http://arxiv.org/abs/2410.22597
Autor:
Ma, Mingyu Derek, Taylor, Alexander K., Wen, Nuan, Liu, Yanchen, Kung, Po-Nien, Qin, Wenna, Wen, Shicheng, Zhou, Azure, Yang, Diyi, Ma, Xuezhe, Peng, Nanyun, Wang, Wei
We present MIDDAG, an intuitive, interactive system that visualizes the information propagation paths on social media triggered by COVID-19-related news articles accompanied by comprehensive insights, including user/community susceptibility level, as
Externí odkaz:
http://arxiv.org/abs/2310.02529
Event extraction for the clinical domain is an under-explored research area. The lack of training data along with the high volume of domain-specific terminologies with vague entity boundaries makes the task especially challenging. In this paper, we i
Externí odkaz:
http://arxiv.org/abs/2208.07989
Autor:
Agnihotri, Sachin, Alpren, Charles, Bangura, Brima, Bennett, Sarah, Gorina, Yelena, Harding, Jadnah D., Hersey, Sara, Kamara, Ansumana S., Kamara, Mohamed A.M., Klena, John D., McLysaght, Fiona, Patel, Nishi, Presser, Lance, Redd, John T., Samba, Thomas T, Taylor, Alexander K, Vandi, Mohamed A, Van Heest, Scott
Publikováno v:
In Annals of Epidemiology August 2021 60:35-44
Autor:
Haenig, Christian, Atias, Nir, Taylor, Alexander K., Mazza, Arnon, Schaefer, Martin H., Russ, Jenny, Riechers, Sean-Patrick, Jain, Shushant, Coughlin, Maura, Fontaine, Jean-Fred, Freibaum, Brian D., Brusendorf, Lydia, Zenkner, Martina, Porras, Pablo, Stroedicke, Martin, Schnoegl, Sigrid, Arnsburg, Kristin, Boeddrich, Annett, Pigazzini, Lucia, Heutink, Peter
Publikováno v:
Cell Reports; Aug2020, Vol. 32 Issue 7, pN.PAG-N.PAG, 1p