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We consider the task of mapping pseudocode to long programs that are functionally correct.
Superoptimizer – a look at the smallest program
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Stochastic superoptimization
E. Schkufza, R. Sharma, and A. Aiken · 2013
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Effective approaches to attention-based neural machine translation
M. Luong, H. Pham, and C. D. Manning · 2015
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Learning to generate pseudo-code from source code using statistical machine translation
Y. Oda, H. Fudaba, G. Neubig, H. Hata, S. Sakti, T. Toda, and S. Nakamura · 2015
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Seq2SQL: Generating structured queries from natural language using reinforcement learning
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Learning to represent programs with graphs
M. Allamanis, M. Brockschmidt, and M. Khademi · 2018
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Robustfill: Neural program learning under noisy i/o
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A retrieve-and-edit framework for predicting structured outputs
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Retrieval-based neural code generation
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Mapping language to code in programmatic context
S. Iyer, I. Konstas, A. Cheung, and L. S. Zettlemoyer · 2018
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Nl2bash: A corpus and semantic parser for natural language interface to the linux operating system
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NAPS: Natural program synthesis dataset
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Neural program repair by jointly learning to localize and repair
V. Marko, K. Aditya, M. Petros, B. David, and S. Rishabh · 2019
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FrAngel: Component-based synthesis with control structures
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