2 papers
cs.AI2025
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Marharyta Domnich, Julius Välja, Rasmus Moorits Veski +4
As machine learning models evolve, maintaining transparency demands more human-centric explainable AI techniques. Counterfactual explanations, with roots in human reasoning, identi…
cs.LG2025
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
Eduard Barbu, Marharyta Domnich, Raul Vicente +2
This study presents insights gathered from surveys and discussions with specialists in three domains, aiming to find essential elements for a universal explanation framework that c…