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This paper presents a study on the feasibility of using large language models (LLM) for coding with low-resource and domain-specific programming languages that typically lack the amount of data required for effective LLM processing techniques.
“CodeSearchNet Challenge: Evaluating the State of Semantic Code Search”, 2020
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Alec Radford et al · 2019
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“Practical Empirical Research Using gretl and hansl”
Artur Tarassow · 2019
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“Unsupervised translation of programming languages”
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot and Guillaume Lample · 2020
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Mark Chen et al · 2021
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