1 citations · 1 across the 4 of their papers we have counts for
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OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction
Zhongyuan Liang, Junhyung Jo, Hyang-Jung Lee +2
Early prediction of severe clinical deterioration and remaining length of stay can enable timely intervention and better resource allocation in high-acuity settings such as the ICU…
Do Sparse Autoencoders Identify Reasoning Features in Language Models?
George Ma, Zhongyuan Liang, Irene Y. Chen +1
We study how reliably sparse autoencoders (SAEs) support claims about reasoning-related internal features in large language models. We first give a stylized analysis showing that s…
Revealing Treatment Non-Adherence Bias in Clinical Machine Learning Using Large Language Models
Zhongyuan Liang, Arvind Suresh, Irene Y. Chen
Machine learning systems trained on electronic health records (EHRs) increasingly guide treatment decisions, but their reliability depends on the critical assumption that patients…