collaborators

7 papers

cs.CL2026

LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data

Julian Valline, Cedric Lothritz, Siwen Guo +1

The effectiveness of instruction-tuned Large Language Models (LLMs) is often limited in low-resource linguistic settings due to a lack of high-quality training data. We introduce L…

cs.SE2026

Can Language Models Pass Software Testing Certification Exams? a case study

Fitash Ul Haq, Jordi Cabot

Large Language Models (LLMs) play a pivotal role in both academic research and broader societal applications. LLMs are increasingly used in software testing activities such as test…

cs.CL2026

Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish

Cedric Lothritz, Jordi Cabot, Laura Bernardy

Large Language Models (LLMs) have become an increasingly important tool in research and society at large. While LLMs are regularly used all over the world by experts and lay-people…

cs.SE2025

AgentSLA : Towards a Service Level Agreement for AI Agents

Gwendal Jouneaux, Jordi Cabot

AI components are increasingly becoming a key element of all types of software systems to enhance their functionality. These AI components are often implemented as AI Agents, offer…

cs.SE2025

Towards a DSL to Formalize Multimodal Requirements

Marcos Gomez-Vazquez, Jordi Cabot

Multimodal systems, which process multiple input types such as text, audio, and images, are becoming increasingly prevalent in software systems, enabled by the huge advancements in…

cs.SE2025

Vibe Modeling: Challenges and Opportunities

Jordi Cabot

There is a pressing need for better development methods and tools to keep up with the growing demand and increasing complexity of new software systems. New types of user interfaces…