The 14th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2026) took place in Marbella from March 7 to March 9. MODELSWARD provides a platform for participants from all over the world to present research results and application experiences in the use of model-based techniques for the development of a wide variety of systems.
Benjamin Nast from Business Informatics presented on the topic of “Large Language Models for Quality Control of Large Language Models” in the Methodologies, Processes, and Platforms track. The accompanying paper was written by Preethika Chandrasekaran, Imron Shajahan, Saran Sankaran, Benjamin Nast, and Kurt Sandkuhl. It examined the potential use of large language models (LLMs) for quality control of LLM output based on experiments.