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We approach the important challenge of code autocompletion as an open-domain task, in which a sequence-to-sequence code generator model is enhanced with the ability to attend to reference code snippets supplied by a semantic code search engine.
Mass: Masked sequence to sequence pre-training for language generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2019 · 1905
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Codesearchnet challenge: Evaluating the state of semantic code search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt. 2019 · 1909
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The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell and Jade Goldstein. 1998 · 1998
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Bin Bi, Chenliang Li, Chen Wu, Ming Yan, and Wei Wang. 2020 · 2004
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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Unit test case generation with transformers
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, and Neel Sundaresan. 2020 · 2009
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Elasticsearch: the definitive guide: a distributed real-time search and analytics engine
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Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren, and Percy S Liang. 2018 · 2018
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Staqc: A systematically mined question-code dataset from stack overflow
Ziyu Yao, Daniel S. Weld, Wei-Peng Chen, and Huan Sun. 2018 · 2018
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Learning to mine aligned code and natural language pairs from stack overflow
Pengcheng Yin, Bowen Deng, Edgar Chen, Bogdan Vasilescu, and Graham Neubig. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 2019
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Codexglue: A benchmark dataset and open challenge for code intelligence
2020 · 2020
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Annoy: Approximate Nearest Neighbors in C++/Python
Erik Bernhardsson. 2020 · 2020
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Pymt5: multi-mode translation of natural language and python code with transformers
Colin B. Clement, Dawn Drain, Jonathan Timcheck, Alexey Svyatkovskiy, and Neel Sundaresan. 2020 · 2020
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Incorporating external knowledge through pre-training for natural language to code generation
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, and Graham Neubig. 2020 · 2020
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Cited alongside, same era.
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Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
Aroma: Code recommendation via structural code search
Sifei Luan, Di Yang, Celeste Barnaby, Koushik Sen, and Satish Chandra. 2019 · 2019
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Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer. 2016 · 2083
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