Antonio Mastropaolo

Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality

Large Language Models (LLMs) perform differently on identical tasks when prompted in different languages—a phenomenon known as language bias. Although well-documented for general text generation, the extent to which language bias affects code generation quality and programming co...

Toward Explaining Large Language Models in Software Engineering Tasks

Recent progress in Large Language Models (LLMs) has substantially advanced the automation of software engineering (SE) tasks, enabling complex activities such as code generation and code summarization. However, the black-box nature of LLMs remains a major barrier to their adoptio...