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#machine learning Preprint Sep 2026

Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models

Multimodal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of multimodal tasks, yet understanding and quantifying their predictive uncertainty remains underexplored despite being central for safety critical applications. In this work, we present a systematic study of training-free...

Soroush Seifi, Vaggelis Dorovatas, Lin Li et al. · 0 citations
Preprint Aug 2026

CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

CaseWeaver is introduced, a multi-agent framework built around a timeline-anchored Latent Clinical Case Graph (LCCG) that organizes patient context, latent disease states, clinical events, and expected observations in a shared patient-level representation, and outperformed general-model and agentic-workflow baselines o...

Jie-Rui Qu, Jia-Chuan Peng, Lin Li et al. · 0 citations

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