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 …

This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Over the past year (2022–2023), recently-released AI tools such as ChatGPT and GitHub
Copilot have gained significant attention from computing educators. Both researchers and …

This paper presents CyberSecEval, a comprehensive benchmark developed to help bolster
the cybersecurity of Large Language Models (LLMs) employed as coding assistants. As …

Supply chain operations traditionally involve a variety of complex decision making problems.
Over the last few decades, supply chains greatly benefited from advances in computation …

Generative AI models, specifically large language models (LLMs), have made strides
towards the long-standing goal of text-to-code generation. This progress has invited …

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

With the rise of large language models (LLMs), researchers are increasingly exploring their
applications in var ious vertical domains, such as software engineering. LLMs have …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …