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pro vyhledávání: '"ALLEN Thomas"'
Autor:
Raja Waseem, De Bastiani Michele, Allen Thomas G., Aydin Erkan, Razzaq Arsalan, Rehman Atteq ur, Ugur Esma, Babayigit Aslihan, Subbiah Anand S., Isikgor Furkan H., De Wolf Stefaan
Publikováno v:
Nanophotonics, Vol 10, Iss 8, Pp 2023-2042 (2021)
Metal halide perovskites have emerged in recent years as promising photovoltaic materials due to their excellent optical and electrical properties, enabling perovskite solar cells (PSCs) with certified power conversion efficiencies (PCEs) greater tha
Externí odkaz:
https://doaj.org/article/ff6c02d41de1425e87175fca15708afe
Autor:
Bhattacharjee, Bishwaranjan, Trivedi, Aashka, Muraoka, Masayasu, Ramasubramanian, Muthukumaran, Udagawa, Takuma, Gurung, Iksha, Pantha, Nishan, Zhang, Rong, Dandala, Bharath, Ramachandran, Rahul, Maskey, Manil, Bugbee, Kaylin, Little, Mike, Fancher, Elizabeth, Gerasimov, Irina, Mehrabian, Armin, 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, 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
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:
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