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Preprint Oct 2026

DISCERN: Identifiable Disease Evidence for Generalizable Medical Multimodal Learning

Clinical multimodal models can learn enrollment shortcuts shared across modalities and fail on new cohorts. We model these data through a latent structural causal model: disease state and background factors generate physiology through shared mechanisms, while cohorts differ in selection and measurement. Holding acquisi...

Xiao-Guang Zhu, Peng-Yi Jiang, Jun-Cen Guo et al. · 0 citations
#machine learning Preprint Sep 2026

Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection

The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictive differences. Although heterogeneous teaming is often observed to be effective in practice, existing approaches lack complementarity metrics that are computable, interp...

Liang-Yu Teng, Heng-Song Liu, Jun-Cen Guo et al. · 0 citations

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