5 papers
C-kNN-LSH: A Nearest-Neighbor Algorithm for Sequential Counterfactual Inference
Jing Wang, Jie Shen, Qiaomin Xie +1
Estimating causal effects from longitudinal trajectories is central to understanding the progression of complex conditions and optimizing clinical decision-making, such as comorbid…
Optimal Budgeted Adaptation of Large Language Models
Jing Wang, Jie Shen, Dean Foster +2
The trade-off between labeled data availability and downstream accuracy remains a central challenge in fine-tuning large language models (LLMs). We propose a principled framework f…
Immunological Density Shapes Recovery Trajectories in Long COVID
Jing Wang, Tong Zhang, Xing Niu +6
Post-acute sequelae of SARS-CoV-2 infection (Long COVID) frequently persists for months, yet drivers of clinical remission remain incompletely defined. Here we analyzed 97,564 long…
Metric-Fair Prompting: Treating Similar Samples Similarly
Jing Wang, Jie Shen, Xing Niu +2
We introduce \emph{Metric-Fair Prompting}, a fairness-aware prompting framework that guides large language models (LLMs) to make decisions under metric-fairness constraints. In the…
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction
Jing Wang, Xing Niu, Tong Zhang +3
A crucial component for clinical risk prediction is developing a reliable prediction model is collecting high-quality time series clinical events. In this work, we release such a d…