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20242026
most citedBeyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?

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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.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…