3 citations · 5 across the 5 of their papers we have counts for
5 papers
A Principle-based Framework for the Development and Evaluation of Large Language Models for Health and Wellness
Brent Winslow, Jacqueline Shreibati, Javier Perez +18
The incorporation of generative artificial intelligence into personal health applications presents a transformative opportunity for personalized, data-driven health and fitness gui…
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis
Shrey Shah, Alex Lin, Scott Lin +3
Accurate damage prediction is crucial for disaster preparedness and response strategies, particularly given the frequent earthquakes in Turkey. Utilizing datasets on earthquake dat…
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
Shay Deutsch, Lionel Yelibi, Alex Tong Lin +1
Deriving meaningful representations from complex, high-dimensional data in unsupervised settings is crucial across diverse machine learning applications. This paper introduces a fr…
Four errors students make with inverse-square law vectors
Colin S. Wallace, Liam Jones, Alex Lin
In this paper, we discuss four errors introductory physics students make when attempting to add two inverse-square law vectors. We observe multiple instances in which students 1) a…
Word-Level Explanations for Analyzing Bias in Text-to-Image Models
Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru +2
Text-to-image models take a sentence (i.e., prompt) and generate images associated with this input prompt. These models have created award wining-art, videos, and even synthetic da…