14 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CL2022
Collateral facilitation in humans and language models
James A. Michaelov, Benjamin K. Bergen
Are the predictions of humans and language models affected by similar things? Research suggests that while comprehending language, humans make predictions about upcoming words, wit…
cs.CL2021★ 14 cited
Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude?
James A. Michaelov, Megan D. Bardolph, Seana Coulson +1
Despite being designed for performance rather than cognitive plausibility, transformer language models have been found to be better at predicting metrics used to assess human langu…