2 papers
cs.CV2026
Scaling Vision Models Does Not Consistently Improve Localisation-Based Explanation Quality
Mateusz Cedro, Marcin Chlebus
Artificial intelligence models are increasingly scaled to improve predictive accuracy, yet it remains unclear whether scale improves the quality of post-hoc explanations. We invest…
cs.CV2024
Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?
Mateusz Cedro, Marcin Chlebus
The increasing complexity of Artificial Intelligence models poses challenges to interpretability, particularly in the healthcare sector. This study investigates the impact of deep…