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For a complicated algorithm, its implementation by a human programmer usually starts with outlining a rough control flow followed by iterative enrichments, eventually yielding carefully generated syntactic structures and variables in a hierarchy.
The fortran automatic coding system
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Multi-lingual evaluation of code generation models
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Liu, Y. and Wu, Z · 2019
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Learning to infer program sketches
Nye, M., Hewitt, L., Tenenbaum, J., and Solar-Lezama, A · 2019
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Learning to represent programs with property signatures
Odena, A. and Sutton, C · 2019
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A simple approach for handling out-of-vocabulary identifiers in deep learning for source code
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Shi, F., Suzgun, M., Freitag, M., Wang, X., Srivats, S., Vosoughi, S., Chung, H. W., Tay, Y., Ruder, S., Zhou, D., et al · 2022
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Wei, J., Wang, X., Schuurmans, D., Bosma, M., Chi, E., Le, Q., and Zhou, D · 2022
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Xu, F. F., Vasilescu, B., and Neubig, G · 2022
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Parsel: A unified natural language framework for algorithmic reasoning
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Automatic chain of thought prompting in large language models
Zhang, Z., Zhang, A., Li, M., and Smola, A · 2022
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Cancergpt: Few-shot drug pair synergy prediction using large pre-trained language models
Li, T., Shetty, S., Kamath, A., Jaiswal, A., Jiang, X., Ding, Y., and Kim, Y · 2023
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Hierarchical neural program synthesis
Zhong, L., Lindeborg, R., Zhang, J., Lim, J. J., and Sun, S.-H · 2023
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