3 papers
cs.CL2026
The Holistic Storage of Verb+Up Phrases in Text-based and Audio-based Language Models
Zachary Nicholas Houghton, Yu Zhou, Dan Pluth +2
One of the most central aspects of language processing is the ability to trade off between stored representations and abstract knowledge: one must retrieve stored representations,…
cs.CL2026
On the Interpretability of Whisper Encodings Using Sparse Autoencoders
Dan Pluth, Zachary Nicholas Houghton, Yu Zhou +1
While deep transformer-based models have advanced rapidly, their internal mechanisms remain largely a mystery. Recent work has prioritized understanding text-based transformer mode…
cs.CL2025
Sparse Autoencoder Insights on Voice Embeddings
Daniel Pluth, Yu Zhou, Vijay K. Gurbani
Recent advances in explainable machine learning have highlighted the potential of sparse autoencoders in uncovering mono-semantic features in densely encoded embeddings. While most…