1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2026
Sparse Weight and Edge Circuit Discovery in Transformer-based Acoustic Models
Jiankun Wei, Ewan Dunbar, Gerald Penn
Transformer-based foundation models are powerful but opaque, motivating Mechanistic Interpretation methods to uncover the black-box by identifying small computation subgraphs respo…
cs.CL2024★ 1 cited
Quantifying the Role of Textual Predictability in Automatic Speech Recognition
Sean Robertson, Gerald Penn, Ewan Dunbar
A long-standing question in automatic speech recognition research is how to attribute errors to the ability of a model to model the acoustics, versus its ability to leverage higher…