37 citations · 42 across the 4 of their papers we have counts for
3 papers · 1 filter
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah, Phoebe Chen, Ted L. Willke +2
The computational complexity of the self-attention mechanism in Transformer models significantly limits their ability to generalize over long temporal durations. Memory-augmentatio…
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
Laura Gwilliams, Graham Flick, Alec Marantz +3
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each particip…
Successes and critical failures of neural networks in capturing human-like speech recognition
Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Natural and artificial audition can in principle acquire different solutions to a given problem. The constraints of the task, however, can nudge the cognitive science and engineeri…