Author

D. Rückert

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#small language model Preprint Oct 2026

When Layer Selection Misleads Speech Depression Detection

It is argued nested model-selection protocols should be standard when probing encoder layer representations on small clinical speech datasets, and a fair comparison across representation families identifies a compact, task-aligned affect--prosody model as competitive with substantially more complex SSL, deep-learning,...

P. A. Pérez-Toro, David Gimeno-Gómez, D. Rückert et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Generalist-Specialist Mixture-of-Experts for Rare Pathology Detection in Multimodal Imaging

AI models for multimodal medical imaging must balance modality-specific specialization with cross-modal shared representations, a trade-off that pure Mixture-of-Experts (MoE) architectures currently fail to satisfy. Expert-based routing improves in-domain learning but may sacrifice cross-modal signals, which appear par...

Johannes Kaiser, Florian Braunmiller, D. Rückert et al. · 0 citations