Programming is a powerful and ubiquitous problem-solving tool. Systems that can assist
programmers or even generate programs themselves could make programming more …

Pre-trained models for programming languages have recently demonstrated great success
on code intelligence. To support both code-related understanding and generation tasks …

Large language models such as Codex, have shown the capability to produce code for
many programming tasks. However, the success rate of existing models is low, especially for …

What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in helping people understand discriminative …

Code completion, which aims to predict the following code token (s) according to the code
context, can improve the productivity of software development. Recent work has proved that …

Generative machine learning models have recently been applied to source code, for use
cases including translating code between programming languages, creating documentation …

Pre-trained programming language (PL) models (such as CodeT5, CodeBERT,
GraphCodeBERT, etc.,) have the potential to automate software engineering tasks involving …

Abstract Java Code Generation consists in generating automatically Java code from a
Natural Language Text. This NLP task helps in increasing programmers' productivity by …

Code search is an essential task in software development. Developers often search the
internet and other code databases for necessary source code snippets to ease the …

In this paper, we leverage low-level compiler intermediate representations (IR) to improve
code translation. Traditional transpilers rely on syntactic information and handcrafted rules …