Mario Linares‐Vásquez

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...

Perspective of software engineering researchers on machine learning practices regarding research, review, and education

Abstract Context Machine Learning (ML) significantly impacts Software Engineering (SE), but studies primarily focus on practitioners, neglecting researchers. This ignores practices and challenges in teaching, researching, or reviewing ML applications in SE. Objective This study a...