Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

Large Language Models (LLMs) have gained considerable traction within the Software
Engineering (SE) community, impacting various SE tasks from code completion to test …

Previous learning-based vulnerability detection methods relied on either medium-sized pre-
trained models or smaller neural networks from scratch. Recent advancements in Large Pre …

The advancement of large language models (LLMs) has significantly enhanced the ability to
effectively tackle various downstream NLP tasks and unify these tasks into generative …

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

Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Code models, such as CodeBERT and CodeT5, offer general-purpose representations of
code and play a vital role in supporting downstream automated software engineering tasks …

Large-scale pre-trained models such as CodeBERT, GraphCodeBERT have earned
widespread attention from both academia and industry. Attributed to the superior ability in …

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