4 papers · 1 filter
Towards Generation-Efficient Uncertainty Estimation in Large Language Models
Mingcheng Zhu, Yu Liu, Tingting Zhu
Uncertainty estimation is important for deploying LLMs in high-stakes applications such as healthcare and finance, where hallucinations can appear fluent and plausible while being…
Standing on the Shoulders of Giants: Rethinking EEG Foundation Model Pretraining via Multi-Teacher Distillation
Chenqi Li, Yu Liu, Shuo Zhang +2
Pretraining for electroencephalogram (EEG) foundation models has predominantly relied on self-supervised masked reconstruction, a paradigm largely adapted from and inspired by the…
ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
Zi Cai, Yu Liu, Zhiyao Luo +1
Digital healthcare systems have enabled the collection of mass healthcare data in electronic healthcare records (EHRs), allowing artificial intelligence solutions for various healt…
Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction
Mingcheng Zhu, Yu Liu, Zhiyao Luo +1
Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditions in the intensive care unit (ICU), including recognised rare diseases and low-pr…