4 papers
GuidedRAG: Semantic Steering of Retrieval-Augmented Generation
Matthijs Jansen op de Haar, Tobias Stähle, Lorenzo Gatti
In this work, we propose GuidedRAG, a novel extension to traditional Retrieval-Augmented Generation (RAG) that introduces a dedicated selection stage and semantic steering during r…
All Relations Lead to Rome: Automated Knowledge Graph Creation and Question Generation
Matthijs Jansen op de Haar, Tobias Stähle, Lorenzo Gatti
Large language models have substantially improved information retrieval and question answering; however, existing datasets generally support either vector-based retrieval over unst…
Digital Twin-Based Simulation for Predictive Decision-Making in Waterway Logistics
Matthijs Jansen op de Haar, Daniel Frutos Rodriguez
This paper investigates the potential of a Digital Twin (DT) for freight routing across inland waterway networks under uncertain water-level conditions. Existing approaches insuffi…
Beyond Grading Accuracy: Exploring Alignment of TAs and LLMs
Matthijs Jansen op de Haar, Nacir Bouali, Faizan Ahmed
In this paper, we investigate the potential of open-source Large Language Models (LLMs) for grading Unified Modeling Language (UML) class diagrams. In contrast to existing work, wh…