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cs.CV2026
Understanding How MLLMs Describe Artworks Using Token Activation Maps
Nicola Fanelli, Pasquale De Marinis, Raffaele Scaringi +3
Multimodal Large Language Models (MLLMs) describe artworks with remarkable fluency, yet the visual reasoning behind their outputs remains opaque. When an MLLM names a style, identi…
cs.AI2026★ 1 cited
Explainable Fuzzy GNNs for Leak Detection in Water Distribution Networks
Qusai Khaled, Pasquale De Marinis, Moez Louati +3
Timely leak detection in water distribution networks is critical for conserving resources and maintaining operational efficiency. Although Graph Neural Networks (GNNs) excel at cap…