AI-powered code generation models have been developing rapidly, allowing developers to
expedite code generation and thus improve their productivity. These models are trained on …

Large Language Models (LLMs) are advancing at a remarkable pace, with myriad
applications under development. Unlike most earlier machine learning models, they are no …

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

Logging practices have been extensively investigated to assist developers in writing
appropriate logging statements for documenting software behaviors. Although numerous …

Large language models of code have shown remarkable effectiveness across various
software engineering tasks. Despite the availability of many cloud services built upon these …

Large Language Models (LLMs) have achieved remarkable success in code completion, as
evidenced by their essential roles in developing code assistant services such as Copilot …

Code completion aims to enhance programming productivity by predicting potential code
based on the current programming context. Recently, pre-trained language models (LMs) …

Large Language Models for Code (LLM4Code) have become an integral part of developers'
workflows, assisting with tasks such as code completion and generation. However, these …

Large Language Models (LLMs) have recently shown remarkable capabilities in various
software engineering tasks, spurring the rapid development of the Large Language Models …

In recent years, applications of artificial intelligence have seen notable success across
various fields. Large Language Models (LLMs) have particularly found extensive use in the …