3 papers
cs.CL2025
Generalization of Medical Large Language Models through Cross-Domain Weak Supervision
Robert Long, Eric Gonzalez, Harrison Fuller
The advancement of large language models (LLMs) has opened new frontiers in natural language processing, particularly in specialized domains like healthcare. In this paper, we prop…
cs.CV2025
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning
Harrison Fuller, Fernando Gabriela Garcia, Victor Flores
Few-shot learning in medical image classification presents a significant challenge due to the limited availability of annotated data and the complex nature of medical imagery. In t…
cs.CL2024
Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms
Fernando Gabriela Garcia, Spencer Burns, Harrison Fuller
In this paper, we introduce ChatCite, a novel method leveraging large language models (LLMs) for generating comparative literature summaries. The ability to summarize research pape…