Abstract: Recently, Large Language Models (LLMs) have made substantial progress in code generation, but they still frequently generate code containing logic errors or syntax bugs. While research has ...

Abstract: This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual ...

It’s becoming somewhat of a theme that machine-generated content – whether it’s code, text or graphics – keeps pushing people ...