1 citations · 2 across the 4 of their papers we have counts for
4 papers
MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval
Ahmad Elallaf, Yu Zhang, Yuktha Priya Masupalli +4
Vision-language foundation models have emerged as powerful general-purpose representation learners with strong potential for multimodal understanding, but their deterministic embed…
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval
Demetrio Deanda, Yuktha Priya Masupalli, Jeong Yang +3
Medical images and reports offer invaluable insights into patient health. The heterogeneity and complexity of these data hinder effective analysis. To bridge this gap, we investiga…
Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study
Ramya Jonnala, Gongbo Liang, Jeong Yang +1
The integration of large language models (LLMs) into public transit systems presents a transformative opportunity to enhance urban mobility. This study explores the potential of LL…
Using Large Language Models in Public Transit Systems, San Antonio as a case study
Ramya Jonnala, Gongbo Liang, Jeong Yang +1
The integration of large language models into public transit systems represents a significant advancement in urban transportation management and passenger experience. This study ex…