10 citations · 11 across the 5 of their papers we have counts for
5 papers
Dissect-and-Restore: AI-based Code Verification with Transient Refactoring
Changjie Wang, Mariano Scazzariello, Anoud Alshnakat +3
Formal verification is increasingly recognized as a critical foundation for building reliable software systems. However, the need for specialized expertise to write precise specifi…
Automating the Detection of Code Vulnerabilities by Analyzing GitHub Issues
Daniele Cipollone, Changjie Wang, Mariano Scazzariello +4
In today's digital landscape, the importance of timely and accurate vulnerability detection has significantly increased. This paper presents a novel approach that leverages transfo…
From Scientific Texts to Verifiable Code: Automating the Process with Transformers
Changjie Wang, Mariano Scazzariello, Marco Chiesa
Despite the vast body of research literature proposing algorithms with formal guarantees, the amount of verifiable code in today's systems remains minimal. This discrepancy stems f…
Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning
Laura Puccioni, Alireza Farshin, Mariano Scazzariello +3
Large Language Models (LLMs) have demonstrated their exceptional performance in various complex code generation tasks. However, their broader adoption is limited by significant com…
Making Network Configuration Human Friendly
Changjie Wang, Mariano Scazzariello, Alireza Farshin +2
This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimiz…