2 papers
cs.LG2026
A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar
C. J. Moore, Gregory D. Vetaw, Jordan Malof
In this work we study Automatic Target Recognition (ATR) for Synthetic Aperture Sonar (SAS) data with a focus on deep neural networks (DNNs). The main challenge in training DNNs fo…
cs.AI2026
Diagnosing Generalization Failures in Fine-Tuned LLMs: A Cross-Architectural Study on Phishing Detection
Frank Bobe, Gregory D. Vetaw, Chase Pavlick +3
The practice of fine-tuning Large Language Models (LLMs) has achieved state-of-the-art performance on specialized tasks, yet diagnosing why these models become brittle and fail to…