The authors argue that generative AI introduces a new class of alignment risks because interaction itself becomes a mechanism of influence. Humans adapt their behavior in response to AI outputs, ...

Abstract: Machine unlearning methods have become increasingly important for selective removal of harmful concepts in large multimodal models. While recent work has explored unlearning in Euclidean ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Methods: Methods: We conducted a multicenter mixed-methods study across five tertiary hospitals, surveying 240 HCPs and 480 PCs and conducting semi-structured interviews with 30 participants.

Abstract: While existing Few-Shot Learning (FSL) techniques demonstrate strong performance on uniform datasets, they encounter domain shift challenges when presented with domain-agnostic queries in ...