How well does surprisal explain N400 amplitude under different experimental conditions? - James A. Michaelov; Benjamin K. Bergen 001 (CoNLL, 2020)

Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude? - James A. Michaelov; Megan D. Bardolph; Seana Coulson; Benjamin Bergen 001 (CogSci, 2021)

Distrubutional Semantics Still Can't Account for Affordances. - Cameron R. Jones; Tyler A. Chang; Seana Coulson; James A. Michaelov; Sean Trott; Benjamin Bergen 001 (CogSci, 2022)

Do Language Models Make Human-like Predictions about the Coreferents of Italian Anaphoric Zero Pronouns? - James A. Michaelov; Benjamin K. Bergen 001 (COLING, 2022)

Collateral facilitation in humans and language models. - James A. Michaelov; Benjamin K. Bergen 001 (CoNLL, 2022)

Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers. - James A. Michaelov; Benjamin K. Bergen 001 (ACL (Findings), 2023)

Can Peanuts Fall in Love with Distributional Semantics? - James A. Michaelov; Seana Coulson; Benjamin Bergen 001 (CogSci, 2023)

Emergent Inabilities? Inverse Scaling Over the Course of Pretraining. - James A. Michaelov; Ben Bergen 001 (EMNLP (Findings), 2023)

Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models. - James A. Michaelov; Catherine Arnett; Tyler A. Chang; Ben Bergen 001 (EMNLP, 2023)

Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models. - Catherine Arnett; Tyler A. Chang; James A. Michaelov; Benjamin K. Bergen 001 (CoRR, 2023)

Do Large Language Models Know What Humans Know? - Sean Trott; Cameron R. Jones; Tyler A. Chang; James A. Michaelov; Benjamin K. Bergen 001 (Cogn. Sci., 2023)

So Cloze Yet So Far: N400 Amplitude Is Better Predicted by Distributional Information Than Human Predictability Judgements. - James A. Michaelov; Seana Coulson; Benjamin K. Bergen 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

Revenge of the Fallen? Recurrent Models Match Transformers at Predicting Human Language Comprehension Metrics. - James A. Michaelov; Catherine Arnett; Benjamin K. Bergen 001 (CoRR, 2024)

On the Acquisition of Shared Grammatical Representations in Bilingual Language Models. - Catherine Arnett; Tyler A. Chang; James A. Michaelov; Ben Bergen 001 (ACL (1), 2025)

Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events. - James A. Michaelov; Reeka Estacio; Zhien Zhang; Ben Bergen 001 (ACL (Findings), 2025)