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Code completion tools are frequently used by software developers to accelerate software development by suggesting the following code elements.
Mining source code repositories at massive scale using language modeling
Miltiadis Allamanis and Charles Sutton · 2013
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On the localness of software
Zhaopeng Tu, Zhendong Su, and Premkumar Devanbu · 2014
Earlier work this paper cites.
On the naturalness of software
Abram Hindle, Earl T Barr, Mark Gabel, Zhendong Su, and Premkumar Devanbu · 2016
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Probabilistic model for code with decision trees
Veselin Raychev, Pavol Bielik, and Martin T. Vechev · 2016
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Are deep neural networks the best choice for modeling source code?
Vincent J Hellendoorn and Premkumar Devanbu · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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aixcoder
aiXcoder · 2018
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Non-autoregressive neural machine translation
Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, and Richard Socher · 2018
Cited alongside, same era.
Layer-wise coordination between encoder and decoder for neural machine translation
Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, and Tie-Yan Liu · 2018
Cited alongside, same era.
Code completion with neural attention and pointer networks
Jian Li, Yue Wang, Michael R. Lyu, and Irwin King · 2018
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Mask-predict: Parallel decoding of conditional masked language models
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, and Luke Zettlemoyer · 2019
Cited alongside, same era.
Flowseq: Non-autoregressive conditional sequence generation with generative flow
Big code!= big vocabulary: Open-vocabulary models for source code
Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, and Andrea Janes · 2020
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Non-autoregressive machine translation with disentangled context transformer
Jungo Kasai, James Cross, Marjan Ghazvininejad, and Jiatao Gu · 2020
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A self-attentional neural architecture for code completion with multi-task learning
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Zhiyi Fu, and Zhi Jin · 2020
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A study of non-autoregressive model for sequence generation
Yi Ren, Jinglin Liu, Xu Tan, Zhou Zhao, Sheng Zhao, and Tie-Yan Liu · 2020
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Towards full-line code completion with neural language models
Wenhan Wang, Sijie Shen, Ge Li, and Zhi Jin · 2020
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Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, and Eduard H. Hovy · 2019
Cited alongside, same era.
Imitation learning for non-autoregressive neural machine translation
Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, and Xu Sun · 2019
Cited alongside, same era.
Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, and Miltiadis Allamanis · 2021
Later among the works it cites.
Glancing transformer for non-autoregressive neural machine translation
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, and Lei Li · 2021
Later among the works it cites.