Write High Quality Code Using Simple Language Prompts Regardless of Your Experience Level. Leverage Generative AI to...
May 12, 2021 · In this paper, we investigate the efficacy of pretraining autocompletion models on non-IDE, non-autocompletion, and different-language example ...
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In this paper, we highlight practical reasons for this inadequacy, and make a call to action in using transfer learning to overcome the issue.
As visualized in Figure 3, we explore the effect of transfer learning by pretraining models on non-IDE, non- autocompletion, and different programming language ...
In this paper, we highlight practical reasons for this inadequacy, and make a call to action in using transfer learning to overcome the issue. KEYWORDS. Machine ...
Oct 17, 2022 · In this paper, we highlight practical reasons for this inadequacy, and make a call to action in using transfer learning to overcome the issue.
Practical reasons for the number of examples of IDE autocompletion in the target programming language is inadequate for model training are highlighted, ...
In this paper, we highlight practical reasons for this inadequacy, and make a call to action in using transfer learning to overcome the issue.
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Download Citation | On May 1, 2022, Wen Zhou and others published Improving Code Autocompletion with Transfer Learning | Find, read and cite all the ...
In this paper, we investigate the efficacy of pretraining autocompletion models on non-IDE, non-autocompletion, and different-language example code sequences.
In recent years, learning-based approaches have been developed to enhance code completion performance [1]- [5], [37] - [40]. The advent of large language models ...