Browsing BI Open by Author "Hort, Max"

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An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code

Hort, Max; Grishina, Anastasiia; Moonen, Leon (Chapter, 2023)

Large language models trained on source code can support a variety of software development tasks, such as code recommendation and program repair. Large amounts of data for training such models benefit the models’ performance. ...
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification

Grishina, Anastasiia; Hort, Max; Moonen, Leon (Chapter, 2023)

The use of modern Natural Language Processing (NLP) techniques has shown to be beneficial for software engineering tasks, such as vulnerability detection and type inference. However, training deep NLP models requires ...