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cs.LG2026
A Clinical Evaluation of Conformal Prediction for Chest Radiograph Report Generation
Nikolaos Kontogeorgis, Pascal Krezer, Klaus-Rudolf Kladny +5
While multimodal large language models (MLLMs) have improved automated radiology report generation, they remain prone to hallucinations, necessitating clinically meaningful risk-co…
cs.LG2026
Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts
Klaus-Rudolf Kladny, Maximilian Mordig, Bernhard Schölkopf +1
Sparse Mixture-of-experts (MoE) models enable scalable transformer architectures by activating only a subset of experts per token. Recent evidence suggests that performance improve…