Do Large Language Models know what humans know? S Trott, C Jones, T Chang, J Michaelov, B Bergen Cognitive Science 47 (7), e13309, 2023 | 101 | 2023 |
So cloze yet so far: N400 amplitude is better predicted by distributional information than human predictability judgements JA Michaelov, S Coulson, BK Bergen IEEE Transactions on Cognitive and Developmental Systems 15 (3), 1033-1042, 2022 | 55 | 2022 |
How well does surprisal explain N400 amplitude under different experimental conditions? JA Michaelov, BK Bergen Proceedings of the 24th Conference on Computational Natural Language …, 2020 | 49 | 2020 |
Strong Prediction: Language model surprisal explains multiple N400 effects JA Michaelov, MD Bardolph, CK Van Petten, BK Bergen, S Coulson Neurobiology of language 5 (1), 107-135, 2024 | 40* | 2024 |
Different kinds of cognitive plausibility: why are transformers better than RNNs at predicting N400 amplitude? JA Michaelov, MD Bardolph, S Coulson, BK Bergen Proceedings of the Annual Meeting of the Cognitive Science Society 43, 2021 | 32 | 2021 |
Distrubutional Semantics Still Can't Account for Affordances CR Jones, TA Chang, S Coulson, JA Michaelov, S Trott, B Bergen Proceedings of the Annual Meeting of the Cognitive Science Society 44, 2022 | 26 | 2022 |
Structural Priming Demonstrates Abstract Grammatical Representations in Multilingual Language Models JA Michaelov, C Arnett, TA Chang, BK Bergen Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 16 | 2023 |
Rarely a problem? Language models exhibit inverse scaling in their predictions following few-type quantifiers JA Michaelov, BK Bergen Findings of the Association for Computational Linguistics: ACL 2023, 2023 | 14 | 2023 |
Collateral facilitation in humans and language models JA Michaelov, BK Bergen Proceedings of the 26th Conference on Computational Natural Language …, 2022 | 14 | 2022 |
Measuring Sentence Information via Surprisal: Theoretical and Clinical Implications in Nonfluent Aphasia N Rezaii, J Michaelov, S Josephy‐Hernandez, B Ren, D Hochberg, ... Annals of Neurology 94 (4), 647-657, 2023 | 13* | 2023 |
Can Peanuts Fall in Love with Distributional Semantics? JA Michaelov, S Coulson, BK Bergen Proceedings of the Annual Meeting of the Cognitive Science Society 45, 2023 | 11* | 2023 |
The more human-like the language model, the more surprisal is the best predictor of N400 amplitude J Michaelov, B Bergen NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022 | 7 | 2022 |
Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns? JA Michaelov, BK Bergen Proceedings of the 29th International Conference on Computational …, 2022 | 5 | 2022 |
Ignoring the alternatives: The N400 is sensitive to stimulus preactivation alone JA Michaelov, BK Bergen Cortex 168, 82-101, 2023 | 3 | 2023 |
The Young and the Old: (t) Release in Elderspeak J Michaelov Lifespans and Styles 3 (1), 2-9, 2017 | 3 | 2017 |
Crosslingual Structural Priming and the Pre-Training Dynamics of Bilingual Language Models C Arnett, TA Chang, JA Michaelov, BK Bergen The 3rd Multilingual Representation Learning Workshop, 2023 | 2 | 2023 |
Do large language models know what humans know? ArXiv S Trott, C Jones, T Chang, J Michaelov, B Bergen arXiv preprint arXiv:2209.01515, 2022 | 2 | 2022 |
On the Mathematical Relationship Between Contextual Probability and N400 Amplitude JA Michaelov, BK Bergen Open Mind 8, 859-897, 2024 | 1 | 2024 |
Revenge of the Fallen? Recurrent Models Match Transformers at Predicting Human Language Comprehension Metrics JA Michaelov, C Arnett, BK Bergen First Conference on Language Modeling, 2024 | 1 | 2024 |
Emergent inabilities? Inverse scaling over the course of pretraining JA Michaelov, BK Bergen Findings of the Association for Computational Linguistics: EMNLP 2023, 14607 …, 2023 | 1 | 2023 |