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Vision-language models can get individual judgments right while struggling to recover and consistently use the exact properties of a 3D object. To characterize this gap, we introduce BedBench, a controlled benchmark of thirteen procedurally generated tasks spanning individual judgments and composite answers. Across twe...
VietMed is a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech, and the first public large-scale pre-trained models for Vietnamese ASR, w2v2-Viet and XLSR-53-Viet are released along with th...
This work introduces RAPTOR - a Role-Aware Private Training framework, which alternates shared and expert optimization and targets each failure directly, using expert-specific clipping and noise together with a public expected-owner denominator and a count-independent update schedule that avoids conditioning on private...
Wearable optical sensing combined with interpretable machine learning provides physiological signatures associated with stress-related mental health conditions and supports development of scalable and data-driven tools for objective mental health monitoring.
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