16 citations · 54 across the 20 of their papers we have counts for
6 papers · 1 filter
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
Andrew J. Loza, Jun Yup Kim, Shangzheng Song +4
Real-world processes often generate data that are a mix of categorical and numeric values that are recorded at irregular and informative intervals. Discrete token-based approaches…
LAMP: Extracting Local Decision Surfaces From Large Language Models
Ryan Chen, Youngmin Ko, Zeyu Zhang +5
We introduce LAMP (Local Attribution Mapping Probe), a method that shines light onto a black-box language model's decision surface and studies how reliably a model maps its stated…
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
Kisung You, Dennis Shung, Mauro Giuffrè
We introduce a novel, geometry-aware distance metric for the family of von Mises-Fisher (vMF) distributions, which are fundamental models for directional data on the unit hypersphe…
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education
Yann Hicke, Jadon Geathers, Kellen Vu +8
Medical education faces challenges in providing scalable, consistent clinical skills training. Simulation with standardized patients (SPs) develops communication and diagnostic ski…
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium
Amin Adibi, Xu Cao, Zongliang Ji +39
The fourth Machine Learning for Health (ML4H) symposium was held in person on December 15th and 16th, 2024, in the traditional, ancestral, and unceded territories of the Musqueam,…
Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)
Jadon Geathers, Yann Hicke, Colleen Chan +5
Objective Structured Clinical Examinations (OSCEs) are widely used to assess medical students' communication skills, but scoring interview-based assessments is time-consuming and p…