Author

Bojian Hou

2 papers indexed here

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Open access Sep 2026

Generalizable CT vision-language modeling for population health and disease risk

Vision-language foundation models (VLMs) for computed tomography (CT) are emerging tools that learn generalizable representations from large-scale clinical imaging data. While these models can predict task-specific labels, the extent to which their representations capture the clinical, physiological, and longitudinal...

C. Beeche, Joonghyun Kim, H. Tavolinejad et al. · npj Digital Medicine · 1 citation

Preprint Aug 2026

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration

This work proposes maximizing the entropy of predictive distributions as the calibration objective, which directly targets overconfidence by discouraging overly concentrated predictions, and adopts an efficient first-order approximation that avoids explicit second-order computation.

Ruochen Jin, Zhanliang Wang, Zong-Yu Dai et al. · 0 citations