4 papers
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
Wenchong He, Liqian Peng, Zhe Jiang +1
Large language models (LLMs) possess a remarkable ability to perform in-context learning (ICL), which enables them to handle multiple downstream tasks simultaneously without requir…
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He, Zhe Jiang, Tingsong Xiao +2
Deep neural networks (DNNs) have achieved tremendous success in computer vision, natural language processing, and scientific and engineering domains. However, DNNs can make unexpec…
Accelerate Coastal Ocean Circulation Model with AI Surrogate
Zelin Xu, Jie Ren, Yupu Zhang +8
Nearly 900 million people live in low-lying coastal zones around the world and bear the brunt of impacts from more frequent and severe hurricanes and storm surges. Oceanographers s…
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
Tingsong Xiao, Zelin Xu, Wenchong He +8
Adverse clinical events related to unsafe care are among the top ten causes of death in the U.S. Accurate modeling and prediction of clinical events from electronic health records…