Zobrazeno 1 - 10
of 2 545
pro vyhledávání: '"Allen, Thomas"'
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Sanders, Lauren, Costes, Sylvain, Blanco-Cuaresma, Sergi, Lockhart, Kelly, Allen, Thomas, Grezes, Felix, Ansdell, Megan, Accomazzi, Alberto, El-Kurdi, Yousef, Wertheimer, Davis, Pfitzmann, Birgit, Ramis, Cesar Berrospi, Dolfi, Michele, de Lima, Rafael Teixeira, Vagenas, Panagiotis, Mukkavilli, S. Karthik, Staar, Peter, Vahidinia, Sanaz, McGranaghan, Ryan, Mehrabian, Armin, Lee, Tsendgar
Large language models (LLMs) trained on general domain corpora showed remarkable results on natural language processing (NLP) tasks. However, previous research demonstrated LLMs trained using domain-focused corpora perform better on specialized tasks
Externí odkaz:
http://arxiv.org/abs/2405.10725
Autor:
Blanco-Cuaresma, Sergi, Ciucă, Ioana, Accomazzi, Alberto, Kurtz, Michael J., Henneken, Edwin A., Lockhart, Kelly E., Grezes, Felix, Allen, Thomas, Shapurian, Golnaz, Grant, Carolyn S., Thompson, Donna M., Hostetler, Timothy W., Templeton, Matthew R., Chen, Shinyi, Koch, Jennifer, Jacovich, Taylor, Chivvis, Daniel, Alves, Fernanda de Macedo, Paquin, Jean-Claude, Bartlett, Jennifer, Polimera, Mugdha, Jarmak, Stephanie
Open-source Large Language Models enable projects such as NASA SciX (i.e., NASA ADS) to think out of the box and try alternative approaches for information retrieval and data augmentation, while respecting data copyright and users' privacy. However,
Externí odkaz:
http://arxiv.org/abs/2312.14211
Autor:
Grezes, Felix, Allen, Thomas, Blanco-Cuaresma, Sergi, Accomazzi, Alberto, Kurtz, Michael J., Shapurian, Golnaz, Henneken, Edwin, Grant, Carolyn S., Thompson, Donna M., Hostetler, Timothy W., Templeton, Matthew R., Lockhart, Kelly E., Chen, Shinyi, Koch, Jennifer, Jacovich, Taylor, Protopapas, Pavlos
The NASA Astrophysics Data System (ADS) is an essential tool for researchers that allows them to explore the astronomy and astrophysics scientific literature, but it has yet to exploit recent advances in natural language processing. At ADASS 2021, we
Externí odkaz:
http://arxiv.org/abs/2212.00744
Dangerous convictions : what's really wrong with the U.S. Congress / Tom Allen. [elektronicky zdroj]
Autor:
Allen, Thomas H. (Thomas Hodge), 1945-, author
Externí odkaz:
Kolekce e-knih KNAV
Autor:
Allen, Thomas1,2 (AUTHOR) thomas.allen@manchester.ac.uk, Walshe, Kieran3 (AUTHOR), Proudlove, Nathan3 (AUTHOR), Sutton, Matt4 (AUTHOR)
Publikováno v:
BMC Health Services Research. 5/29/2024, Vol. 24 Issue 1, p1-8. 8p.