From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks J Russin, SW McGrath, DJ Williams, L Elber-Dorozko arXiv preprint arXiv:2405.15164, 2024 | 11 | 2024 |
How Can Deep Neural Networks Inform Theory in Psychological Science? SW McGrath, J Russin, E Pavlick, R Feiman Current directions in psychological science 33 (5), 325-333, 2024 | 9 | 2024 |
Is human compositionality meta-learned? J Russin, SW McGrath, E Pavlick, MJ Frank Behavioral and Brain Sciences 47, e162, 2024 | 5 | 2024 |
Multiple Realizability and the Rise of Deep Learning SW McGrath, J Russin arXiv preprint arXiv:2405.13231, 2024 | 2 | 2024 |
Properties of LoTs: The footprints or the bear itself? SW McGrath, J Russin, E Pavlick, R Feiman OSF, 2023 | 2 | 2023 |
On 'Ontology': Analyzing the Carnap-Quine Debate as a Case of Metalinguistic Negotiation SW McGrath Journal for the History of Analytical Philosophy 12 (1), 2024 | | 2024 |
Is human compositionality meta-learned? SW McGrath, E Pavlick, MJ Frank | | |