James A. Michaelov

According to our database, James A. Michaelov authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

IEEE Trans. Cogn. Dev. Syst., September, 2023

Do Large Language Models Know What Humans Know?

Sean Trott, Cameron Jones, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen

Cogn. Sci., July, 2023

Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models.

Catherine Arnett, Tyler A. Chang, James A. Michaelov, Benjamin K. Bergen

CoRR, 2023

Can Peanuts Fall in Love with Distributional Semantics?

James A. Michaelov, Seana Coulson, Benjamin K. Bergen

CoRR, 2023

Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models.

James A. Michaelov, Catherine Arnett, Tyler A. Chang, Ben Bergen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Emergent Inabilities? Inverse Scaling Over the Course of Pretraining.

James A. Michaelov, Ben Bergen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers.

James A. Michaelov, Benjamin K. Bergen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Collateral facilitation in humans and language models.

James A. Michaelov, Benjamin K. Bergen

Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Do Language Models Make Human-like Predictions about the Coreferents of Italian Anaphoric Zero Pronouns?

James A. Michaelov, Benjamin K. Bergen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Distrubutional Semantics Still Can't Account for Affordances.

Cameron Jones, Tyler A. Chang, Seana Coulson, James A. Michaelov, Sean Trott, Benjamin Bergen

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

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

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

How well does surprisal explain N400 amplitude under different experimental conditions?

James A. Michaelov, Benjamin K. Bergen

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020