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cs.CL2024
Making FETCH! Happen: Finding Emergent Dog Whistles Through Common Habitats
Kuleen Sasse, Carlos Aguirre, Isabel Cachola +2
WARNING: This paper contains content that maybe upsetting or offensive to some readers. Dog whistles are coded expressions with dual meanings: one intended for the general public (…
cs.CL2024
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions
Kuleen Sasse, Shinjitha Vadlakonda, Richard E. Kennedy +1
Background: Machine learning methods for clinical named entity recognition and entity normalization systems can utilize both labeled corpora and Knowledge Graphs (KGs) for learning…
cs.CL2024
debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
Kuleen Sasse, Shan Chen, Jackson Pond +2
As Vision Language Models (VLMs) gain widespread use, their fairness remains under-explored. In this paper, we analyze demographic biases across five models and six datasets. We fi…