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Large Language Models' success on text generation has also made them better at code generation and coding tasks.
An axiomatic basis for computer programming
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CodeSearchNet challenge: Evaluating the state of semantic code search
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Typilus: Neural type hints
Allamanis, M., Barr, E. T., Ducousso, S., and Gao, Z · 2020
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Codebleu: a method for automatic evaluation of code synthesis
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Program synthesis with large language models
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Cure: Code-aware neural machine translation for automatic program repair
Jiang, N., Lutellier, T., and Tan, L · 2021
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Chen, N., Sun, Q., Wang, J., Gao, M., Li, X., and Li, X · 2023
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Codexglue: A machine learning benchmark dataset for code understanding and generation
Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C. B., Drain, D., Jiang, D., Tang, D., Li, G., Zhou, L., Shou, L., Zhou, L., Tufano, M., Gong, M., Zhou, M., Duan, N., Sundaresan, N., Deng, S. K., Fu, S., and Liu, S · 2021
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Meaningfully debugging model mistakes using conceptual counterfactual explanations
Abid, A., Yuksekgonul, M., and Zou, J · 2022
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Quantifying memorization across neural language models
Carlini, N., Ippolito, D., Jagielski, M., Lee, K., Tramer, F., and Zhang, C · 2022
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Counterfactual explanations for models of code
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Incoder: A generative model for code infilling and synthesis
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Semantic robustness of models of source code
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Competition-level code generation with alphacode
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Eccles, T., Keeling, J., Gimeno, F., Lago, A. D., Hubert, T., Choy, P., de Masson d’Autume, C., Babuschkin, I., Chen, X., Huang, P.-S., Welbl, J., Gowal, S., Cherepanov, A., Molloy, J., Mankowitz, D. J., Robson, E. S., Kohli, P., de Freitas, N., Kavukcuoglu, K., and Vinyals, O · 2022
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Starcoder: may the source be with you!
Li, R., Allal, L. B., Zi, Y., Muennighoff, N., Kocetkov, D., Mou, C., Marone, M., Akiki, C., Li, J., Chim, J., et al · 2023
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Octopack: Instruction tuning code large language models
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Understanding the effectiveness of large language models in code translation
Pan, R., Ibrahimzada, A. R., Krishna, R., Sankar, D., Wassi, L. P., Merler, M., Sobolev, B., Pavuluri, R., Sinha, S., and Jabbarvand, R · 2023
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Code llama: Open foundation models for code
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Exploring the robustness of large language models for solving programming problems
Shirafuji, A., Watanobe, Y., Ito, T., Morishita, M., Nakamura, Y., Oda, Y., and Suzuki, J · 2023
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Llama 2: Open foundation and fine-tuned chat models
Touvron, H., Martin, L., Stone, K., Albert, P., Almahairi, A., Babaei, Y., Bashlykov, N., Batra, S., Bhargava, P., Bhosale, S., et al · 2023
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