Peer-reviewed publications.
I'm a master's student at Brigham Young University where I research NLP applications and interpretability. As an undergraduate student, I worked on research projects at the intersection of physics, machine learning, and data analysis.
March 21, 2022
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting, Alexander Glenn Shaw, Kyle Jeffrey Rogers, Alexia Pauline Delorey, Mahmoud Khalil, Nancy Fulda, David Wingate
ACL 2022
NLP
Prompt Engineering
Information Theory
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August 22, 2022
Automated Identification of Characteristic Droplet Size Distributions in Stratocumulus Clouds Utilizing a Data Clustering Algorithm
Nithin Allwayin, Michael L. Larsen, Alexander G. Shaw, Raymond A. Shaw
Artificial Intelligence for the Earth Systems
Machine Learning
Atmospheric Physics
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April 8, 2020
Spin dynamics and a nearly continuous magnetic phase transition in an entropy-stabilized oxide antiferromagnet
Benjamin A. Frandsen, K. Alec Petersen, Nicolas A. Ducharme, Alexander G. Shaw, Ethan J. Gibson, Barry Winn, Jiaqiang Yan, Junjie Zhang, Michael E. Manley, Raphaël P. Hermann
Physical Review Materials
Spin Dynamics
Magnetic Phase Transition
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