2 citations · 6 across the 15 of their papers we have counts for
3 papers · 1 filter
Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance
Parker Seegmiller, Sarah Masud Preum
LLMs are increasingly deployed in dynamic, real-world settings, where the distribution of user prompts can shift substantially over time as new tasks, prompts, and users are introd…
Medical Triage as Pairwise Ranking: A Benchmark for Urgency in Patient Portal Messages
Joseph Gatto, Parker Seegmiller, Timothy Burdick +4
Medical triage is the task of allocating medical resources and prioritizing patients based on medical need. This paper introduces the first large-scale public dataset for studying…
How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting
Parker Seegmiller, Joseph Gatto, Sarah E. Greer +4
Large language models (LLMs) show promise in drafting responses to patient portal messages, yet their integration into clinical workflows raises various concerns, including whether…