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Towards Greener Yet Powerful Code Generation via Quantizati..:

, In: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering,

Wei, Xiaokai ; Gonugondla, Sujan Kumar ; Wang, Shiqi... - p. 224-236 , 2023

Link: https://dl.acm.org/doi/10.1145/3611643.3616302

RT 
T1 <cTitle>Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering</cTitle>: T1 <Title>Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3616302&Exemplar=1&LAN=DE
				
A1 Wei, Xiaokai
A1 Gonugondla, Sujan Kumar
A1 Wang, Shiqi
A1 Ahmad, Wasi
A1 Ray, Baishakhi
A1 Qian, Haifeng
A1 Li, Xiaopeng
A1 Kumar, Varun
A1 Wang, Zijian
A1 Tian, Yuchen
A1 Sun, Qing
A1 Athiwaratkun, Ben
A1 Shang, Mingyue
A1 Ramanathan, Murali Krishna
A1 Bhatia, Parminder
A1 Xiang, Bing
PB ACM
YR 2023
K1 Code Generation
K1 Generative AI
K1 Large Language Models
K1 Model Hosting
K1 Quantization
K1 Software and its engineering
K1 Software creation and management
K1 Automatic programming
K1 Integrated and visual development environments
SP 224
OP 236
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3611643.3616302
DO https://dl.acm.org/doi/10.1145/3611643.3616302
SF ELIB - SuUB Bremen

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