Large language models for code (LLM4Code), which demonstrate strong performance (eg,
high accuracy) in processing source code, have significantly transformed software …

Pre-trained models of source code have recently been successfully applied to a wide variety
of Software Engineering tasks; they have also seen some practical adoption in practice, eg …

Recent language models have demonstrated proficiency in summarizing source code.
However, as in many other domains of machine learning, language models of code lack …

Neural network-based techniques for automated program repair are becoming increasingly
effective. Despite their success, little is known about why they succeed or fail, and how their …

Recently, pretrained language models have shown state-of-the-art performance on the
vulnerability detection task. These models are pretrained on a large corpus of source code …

Abstract Machine learning techniques have been increasingly applied to source code in
recent years, leading to numerous advances in the field of Software Engineering (SE). The …