2 papers
cs.SE2026
A framework for assessing the capabilities of code generation of constraint domain-specific languages with large language models
David Delgado, Lola Burgueño, Robert Clarisó
Large language models (LLMs) can be used to support software development tasks, e.g., through code completion or code generation. However, their effectiveness drops significantly w…
cs.CL2025
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
Alessio Buscemi, Cédric Lothritz, Sergio Morales +4
Large Language Models (LLMs) have exhibited impressive natural language processing capabilities but often perpetuate social biases inherent in their training data. To address this,…