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cs.AI2026
Concept-based Visual Counterfactual Explanations with Diffusion Models
Yassine Oueslati, Daniil Kirilenko, Martin Gjoreski +1
Visual counterfactual explanations aim to answer "what minimal change to this image would flip the model's prediction?", and are increasingly important as vision models are deploye…
cs.AI2024
Evaluating Explanations Through LLMs: Beyond Traditional User Studies
Francesco Bombassei De Bona, Gabriele Dominici, Tim Miller +2
As AI becomes fundamental in sectors like healthcare, explainable AI (XAI) tools are essential for trust and transparency. However, traditional user studies used to evaluate these…