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2303.05378
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Greener yet Powerful: Taming Large Code Generation Models with Quantization
9 March 2023
Xiaokai Wei
Sujan Kumar Gonugondla
W. Ahmad
Shiqi Wang
Baishakhi Ray
Haifeng Qian
Xiaopeng Li
Varun Kumar
Zijian Wang
Yuchen Tian
Qing Sun
Ben Athiwaratkun
Mingyue Shang
M. K. Ramanathan
Parminder Bhatia
Bing Xiang
MQ
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Papers citing
"Greener yet Powerful: Taming Large Code Generation Models with Quantization"
6 / 6 papers shown
Title
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le
Yue Wang
Akhilesh Deepak Gotmare
Silvio Savarese
S. Hoi
SyDa
ALM
121
232
0
05 Jul 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
159
86
0
06 Dec 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
204
1,451
0
02 Sep 2021
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
239
626
0
21 Apr 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
138
136
0
13 Jan 2021
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
233
909
0
21 Apr 2018
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