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cs.CL2026
Everyone Was Right: Lexical Representations in Language Models Are Both Abstract and Holistic
Zachary Nicholas Houghton, Yu Zhou, Dan Pluth +2
Lexical representations can encode both abstract information and information specific to particular contexts. We investigate how these forms of information are organized in languag…
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.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…