11 citations · 16 across the 5 of their papers we have counts for
5 papers
This Treatment Works, Right? Evaluating LLM Sensitivity to Patient Question Framing in Medical QA
Hye Sun Yun, Geetika Kapoor, Michael Mackert +4
Patients are increasingly turning to large language models (LLMs) with medical questions that are complex and difficult to articulate clearly. However, LLMs are sensitive to prompt…
Investigating User Perceptions of Collaborative Agenda Setting in Virtual Health Counseling Session
Mina Fallah, Farnaz Nouraei, Hye Sun Yun +1
Virtual health counselors offer the potential to provide users with information and counseling in complex areas such as disease management and health education. However, ensuring u…
Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models
Hye Sun Yun, David Pogrebitskiy, Iain J. Marshall +1
Meta-analyses statistically aggregate the findings of different randomized controlled trials (RCTs) to assess treatment effectiveness. Because this yields robust estimates of treat…
Keeping Users Engaged During Repeated Administration of the Same Questionnaire: Using Large Language Models to Reliably Diversify Questions
Hye Sun Yun, Mehdi Arjmand, Phillip Sherlock +3
Standardized, validated questionnaires are vital tools in research and healthcare, offering dependable self-report data. Prior work has revealed that virtual agent-administered que…
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews
Hye Sun Yun, Iain J. Marshall, Thomas A. Trikalinos +1
Medical systematic reviews play a vital role in healthcare decision making and policy. However, their production is time-consuming, limiting the availability of high-quality and up…