3 papers
cs.CL2026
On the Importance and Evaluation of Narrativity in Natural Language AI Explanations
Mateusz Cedro, David Martens
Explainable AI (XAI) aims to make the behaviour of machine learning models interpretable, yet many explanation methods remain difficult to understand. The integration of Natural La…
cs.CL2025
Cash or Comfort? How LLMs Value Your Inconvenience
Mateusz Cedro, Timour Ichmoukhamedov, Sofie Goethals +3
Large Language Models (LLMs) are increasingly proposed as near-autonomous artificial intelligence (AI) agents capable of making everyday decisions on behalf of humans. Although LLM…
cs.LG2024
GraphXAIN: Narratives to Explain Graph Neural Networks
Mateusz Cedro, David Martens
Graph Neural Networks (GNNs) are a powerful technique for machine learning on graph-structured data, yet they pose challenges in interpretability. Existing GNN explanation methods…