3 papers
cs.CL2026
Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition
Nathan Roll, Pranav Bhalerao, Martijn Bartelds +7
In speech language modeling, two architectures dominate the frontier: the Transformer and the Conformer. However, it remains unknown whether their comparable performance stems from…
cs.CL2025
The Text Aphasia Battery (TAB): A Clinically-Grounded Benchmark for Aphasia-Like Deficits in Language Models
Nathan Roll, Jill Kries, Flora Jin +5
Large language models (LLMs) have emerged as a candidate "model organism" for human language, offering an unprecedented opportunity to study the computational basis of linguistic d…
cs.CL2025
In-Context Learning Boosts Speech Recognition via Human-like Adaptation to Speakers and Language Varieties
Nathan Roll, Calbert Graham, Yuka Tatsumi +3
Human listeners readily adjust to unfamiliar speakers and language varieties through exposure, but do these adaptation benefits extend to state-of-the-art spoken language models? W…