2 papers
cs.HC2025
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…
cs.LG2025
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…