4 papers
Quantifying Hallucinations in Language Language Models on Medical Textbooks
Brandon C. Colelough, Davis Bartels, Dina Demner-Fushman
Hallucinations, the tendency for large language models to provide responses with factually incorrect and unsupported claims, is a serious problem within natural language processing…
Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering
Brandon Colelough, Davis Bartels, Dina Demner-Fushman
In this paper, we present an overview of ClinIQLink, a shared task, collocated with the 24th BioNLP workshop at ACL 2025, designed to stress-test large language models (LLMs) on me…
Neuro-Symbolic AI in 2024: A Systematic Review
Brandon C. Colelough, William Regli
Background: The field of Artificial Intelligence has undergone cyclical periods of growth and decline, known as AI summers and winters. Currently, we are in the third AI summer, ch…
Effects of Dataset Sampling Rate for Noise Cancellation through Deep Learning
Brandon Colelough, Andrew Zheng
Background: Active noise cancellation has been a subject of research for decades. Traditional techniques, like the Fast Fourier Transform, have limitations in certain scenarios. Th…