collaborators

5 papers

cs.SE2026

Do LLMs Favor Their Providers? Measuring Vertical Integration Bias in Code Generation

Melih Catal, Alex Wolf, Tiago Ferreiro Matos +2

Large Language Models (LLMs) have become an integral part of software development, especially with the advent of agentic capabilities. Yet, many frontier LLMs are affiliated with s…

cs.SE2026

Multi Language Models for On-the-Fly Syntax Highlighting

Marco Edoardo Palma, Pooja Rani, Harald C. Gall

Syntax highlighting is a critical feature in modern software development environments, enhancing code readability and developer productivity. However, delivering accurate highlight…

cs.SE2025

Towards Privacy-Preserving Code Generation: Differentially Private Code Language Models

Melih Catal, Pooja Rani, Harald C. Gall

Large language models specialized for code (CodeLLMs) have demonstrated remarkable capabilities in generating code snippets, documentation, and test cases. However, despite their p…

cs.SE2025

Key-Augmented Neural Triggers for Knowledge Sharing

Alex Wolf, Marco Edoardo Palma, Pooja Rani +1

Repository-level code comprehension and knowledge sharing remain core challenges in software engineering. Large language models (LLMs) have shown promise by generating explanations…

cs.SE2025

Trustworthy Distributed Certification of Program Execution

Alex Wolf, Marco Edoardo Palma, Pasquale Salza +1

Verifying the execution of a program is complicated and often limited by the inability to validate the code's correctness. It is a crucial aspect of scientific research, where it i…