2 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
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,…
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…
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…
How susceptible are LLMs to Logical Fallacies?
Amirreza Payandeh, Dan Pluth, Jordan Hosier +2
This paper investigates the rational thinking capability of Large Language Models (LLMs) in multi-round argumentative debates by exploring the impact of fallacious arguments on the…