3 papers
cs.CL2026
CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
Sizhe Wang, Ziqi Xu, Claire Najjuuko +2
Clinical language models (LMs) are increasingly applied to support clinical risk prediction from free-text notes, yet their uncertainty estimates often remain poorly calibrated and…
cs.IR2025
Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
Jingyi Huang, Yuyi Yang, Mengmeng Ji +3
The COVID-19 infodemic calls for scalable fact-checking solutions that handle long-form misinformation with accuracy and reliability. This study presents SAFE (system for accurate…
cs.CL2024
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
Charles Alba, Bing Xue, Joanna Abraham +2
Clinical notes recorded during a patient's perioperative journey holds immense informational value. Advances in large language models (LLMs) offer opportunities for bridging this g…