Zobrazeno 1 - 10
of 781
pro vyhledávání: '"P. Umapathi"'
This research paper focuses on the challenges posed by hallucinations in large language models (LLMs), particularly in the context of the medical domain. Hallucination, wherein these models generate plausible yet unverified or incorrect information,
Externí odkaz:
http://arxiv.org/abs/2307.15343
Autor:
Li, Raymond, Allal, Loubna Ben, Zi, Yangtian, Muennighoff, Niklas, Kocetkov, Denis, Mou, Chenghao, Marone, Marc, Akiki, Christopher, Li, Jia, Chim, Jenny, Liu, Qian, Zheltonozhskii, Evgenii, Zhuo, Terry Yue, Wang, Thomas, Dehaene, Olivier, Davaadorj, Mishig, Lamy-Poirier, Joel, Monteiro, João, Shliazhko, Oleh, Gontier, Nicolas, Meade, Nicholas, Zebaze, Armel, Yee, Ming-Ho, Umapathi, Logesh Kumar, Zhu, Jian, Lipkin, Benjamin, Oblokulov, Muhtasham, Wang, Zhiruo, Murthy, Rudra, Stillerman, Jason, Patel, Siva Sankalp, Abulkhanov, Dmitry, Zocca, Marco, Dey, Manan, Zhang, Zhihan, Fahmy, Nour, Bhattacharyya, Urvashi, Yu, Wenhao, Singh, Swayam, Luccioni, Sasha, Villegas, Paulo, Kunakov, Maxim, Zhdanov, Fedor, Romero, Manuel, Lee, Tony, Timor, Nadav, Ding, Jennifer, Schlesinger, Claire, Schoelkopf, Hailey, Ebert, Jan, Dao, Tri, Mishra, Mayank, Gu, Alex, Robinson, Jennifer, Anderson, Carolyn Jane, Dolan-Gavitt, Brendan, Contractor, Danish, Reddy, Siva, Fried, Daniel, Bahdanau, Dzmitry, Jernite, Yacine, Ferrandis, Carlos Muñoz, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context length, infilling capabilitie
Externí odkaz:
http://arxiv.org/abs/2305.06161
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 17, Iss 2, Pp 107-121 (2024)
The shock wave boundary layer interaction (SWBLI) due to curved shock is studied prominently, as most military aircrafts and missiles undergo strong SWTBLI due to its curved or blunt shape. These interactions effect the performance of vehicles at sup
Externí odkaz:
https://doaj.org/article/abada65341754532b4b6e061138a0700
Autor:
Sivakumar Dheenadhayalan, Ramasamy Rathinam, Thiagarajan Yamuna Rangaiya, Thirumalairaj Brindha, Krishnamoorthy Umapathi, Haque Siddiqui Md Irfanul, Lakshmaiya Natrayan, Kumar Abhinav, Shah Mohd Asif
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 102822-70 (2024)
Externí odkaz:
https://doaj.org/article/0245738b73b64a80a6b5981e4e9523a4
Autor:
Allal, Loubna Ben, Li, Raymond, Kocetkov, Denis, Mou, Chenghao, Akiki, Christopher, Ferrandis, Carlos Munoz, Muennighoff, Niklas, Mishra, Mayank, Gu, Alex, Dey, Manan, Umapathi, Logesh Kumar, Anderson, Carolyn Jane, Zi, Yangtian, Poirier, Joel Lamy, Schoelkopf, Hailey, Troshin, Sergey, Abulkhanov, Dmitry, Romero, Manuel, Lappert, Michael, De Toni, Francesco, del Río, Bernardo García, Liu, Qian, Bose, Shamik, Bhattacharyya, Urvashi, Zhuo, Terry Yue, Yu, Ian, Villegas, Paulo, Zocca, Marco, Mangrulkar, Sourab, Lansky, David, Nguyen, Huu, Contractor, Danish, Villa, Luis, Li, Jia, Bahdanau, Dzmitry, Jernite, Yacine, Hughes, Sean, Fried, Daniel, Guha, Arjun, de Vries, Harm, von Werra, Leandro
The BigCode project is an open-scientific collaboration working on the responsible development of large language models for code. This tech report describes the progress of the collaboration until December 2022, outlining the current state of the Per
Externí odkaz:
http://arxiv.org/abs/2301.03988
Reliable outlier detection is critical for real-world deployment of deep learning models. Although extensively studied, likelihoods produced by deep generative models have been largely dismissed as being impractical for outlier detection. First, deep
Externí odkaz:
http://arxiv.org/abs/2208.13579
Autor:
Viswanathan Gokila, Solaiappan Ayyappan, Thirumalairaj Brindha, Krishnamoorthy Umapathi, Lakshmaiya Natrayan, Haque Siddiqui Md Irfanul, Shah Mohd Asif
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp e2023017-7-460 (2024)
Externí odkaz:
https://doaj.org/article/36be8c9786ec497a9cdd84cfd832ca6c
Publikováno v:
ACM Conference on Health, Inference, and Learning (CHIL) 2022
This paper introduces MedMCQA, a new large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. More than 194k high-quality AIIMS \& NEET PG entrance exam MCQs covering 2.4k healthca
Externí odkaz:
http://arxiv.org/abs/2203.14371
Autor:
Tabita, G., Reddy, P. Umapathi
Publikováno v:
In Electric Power Systems Research January 2025 238
Autor:
Aamir Ahmad Raina, Manjunatha Patel, Arun Somagond, Sakthivel Jeyakumar, Ramasamy Periyasamy Tamil Selvan, Gopal Ramdasji Gowane, Narayanan Krishnaswamy, Dechamma Hosur Joyappa, Kerekoppa Ramesha, Umapathi Vijayapillai, Veerakyathappa Bhanuprakash, Gyanendra Kumar Gaur, Triveni Dutt
Publikováno v:
Journal of Applied Animal Research, Vol 51, Iss 1, Pp 495-500 (2023)
The study investigated the effects of FMD vaccination on acute phase response and milk composition in the HF crossbred cows (n = 12) using a cross-over experimental design. In trial 1, one group (n = 6) received inactivated trivalent oil-adjuvanted F
Externí odkaz:
https://doaj.org/article/b31d2d54434244eab0848669ae334a7c