Zobrazeno 1 - 8
of 8
pro vyhledávání: '"MEHANDRU, NIKITA"'
Autor:
Jeong, Hyewon, Jabbour, Sarah, Yang, Yuzhe, Thapta, Rahul, Mozannar, Hussein, Han, William Jongwon, Mehandru, Nikita, Wornow, Michael, Lialin, Vladislav, Liu, Xin, Lozano, Alejandro, Zhu, Jiacheng, Kocielnik, Rafal Dariusz, Harrigian, Keith, Zhang, Haoran, Lee, Edward, Vukadinovic, Milos, Balagopalan, Aparna, Jeanselme, Vincent, Matton, Katherine, Demirel, Ilker, Fries, Jason, Rashidi, Parisa, Beaulieu-Jones, Brett, Xu, Xuhai Orson, McDermott, Matthew, Naumann, Tristan, Agrawal, Monica, Zitnik, Marinka, Ustun, Berk, Choi, Edward, Yeom, Kristen, Gursoy, Gamze, Ghassemi, Marzyeh, Pierson, Emma, Chen, George, Kanjilal, Sanjat, Oberst, Michael, Zhang, Linying, Singh, Harvineet, Hartvigsen, Tom, Zhou, Helen, Okolo, Chinasa T.
The third ML4H symposium was held in person on December 10, 2023, in New Orleans, Louisiana, USA. The symposium included research roundtable sessions to foster discussions between participants and senior researchers on timely and relevant topics for
Externí odkaz:
http://arxiv.org/abs/2403.01628
Autor:
Mehandru, Nikita, Agrawal, Sweta, Xiao, Yimin, Khoong, Elaine C, Gao, Ge, Carpuat, Marine, Salehi, Niloufar
A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs. Progress in quality estimation research provides techniques to automatically assess MT quality, b
Externí odkaz:
http://arxiv.org/abs/2310.16924
Autor:
Mehandru, Nikita, Miao, Brenda Y., Almaraz, Eduardo Rodriguez, Sushil, Madhumita, Butte, Atul J., Alaa, Ahmed
Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as intelligent "ag
Externí odkaz:
http://arxiv.org/abs/2309.10895
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT reliably and safely, users need to understand when to trust MT outputs
Externí odkaz:
http://arxiv.org/abs/2205.06920
Akademický článek
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Autor:
Weber, Steven1 (AUTHOR) steve_weber@berkeley.edu, Mehandru, Nikita1 (AUTHOR)
Publikováno v:
Business & Politics. Mar2022, Vol. 24 Issue 1, p96-112. 17p.
Autor:
Mehandru, Nikita
Publikováno v:
CMC Senior Theses.
The ongoing debate over welfare in the United States is rooted in the long-standing tension between the nation’s commitment to providing for its most vulnerable and a deep-seated belief that such support can corrupt its recipients. Social Security
Externí odkaz:
http://scholarship.claremont.edu/cmc_theses/1086
http://scholarship.claremont.edu/cgi/viewcontent.cgi?article=2241&context=cmc_theses
http://scholarship.claremont.edu/cgi/viewcontent.cgi?article=2241&context=cmc_theses
Autor:
MEHANDRU, NIKITA1, KOENIG, ALEXA2,3,4
Publikováno v:
Duke Law & Technology Review. 2018, Vol. 17 Issue 1, p129-145. 17p.