In this paper, we demonstrate data augmentation techniques suitable for source code and compiled binary data. By augmenting existing data with semantically- ...
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An data augmentation method for source code summarization
www.sciencedirect.com › article › abs › pii
Sep 7, 2023 · To address this issues, we have proposed a data augmentation method for code comments, named CDA-CS. Training models on the augmented dataset, ...
Feb 5, 2023 · Focusing on data utilization for downstream tasks, we propose and adapt augmentation methods that yield consistent improvements in code ...
In this paper, we demonstrate data augmentation techniques suitable for source code and compiled binary data. By augmenting existing data with semantically- ...
Nov 1, 2023 · Experiments show that our data augmentation techniques significantly improve CodeT5 for translation between Java, Python, and C++ by an average ...
May 2, 2023 · Focusing on data utilization for downstream tasks, we propose and adapt augmentation methods that yield consistent improvements in code ...
Data augmentation for supervised code translation learning
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In this paper, we develop a novel rule-based augmentation approach tailored for code translation data, and a novel retrieval-based approach that combines code ...
Nov 23, 2022 · Data augmentation is a technique of artificially increasing the training set by creating modified copies of a dataset using existing data.
May 30, 2024 · This repository has a pytorch implementation of data augmentation for NER, introduced in our COLING 2020 paper: Xiang Dai and Heike Adel. 2020.