| Using cognitive psychology to understand GPT-3 M Binz, E Schulz Proceedings of the National Academy of Sciences, 2023 | 549 | 2023 |
| Turning large language models into cognitive models M Binz, E Schulz International Conference on Learning Representations (ICLR), 2023 | 76 | 2023 |
| Inducing anxiety in large language models increases exploration and bias J Coda-Forno, K Witte, AK Jagadish, M Binz, Z Akata, E Schulz arXiv preprint arXiv:2304.11111, 2023 | 61 | 2023 |
| Meta-in-context learning in large language models J Coda-Forno, M Binz, Z Akata, M Botvinick, JX Wang, E Schulz Advances in Neural Information Processing Systems 36, 2023 | 44 | 2023 |
| Meta-learned models of cognition M Binz, I Dasgupta, A Jagadish, M Botvinick, JX Wang, E Schulz Behavioral and Brain Sciences, 2023 | 41 | 2023 |
| Heuristics From Bounded Meta-Learned Inference M Binz, SJ Gershman, E Schulz, D Endres Psychological Review, 2022 | 38 | 2022 |
| A tutorial on open-source large language models for behavioral science Z Hussain, M Binz, R Mata, DU Wulff Behavior Research Methods, 2023 | 29 | 2023 |
| Modeling human exploration through resource-rational reinforcement learning M Binz, E Schulz Advances in Neural Information Processing Systems 35, 31755-31768, 2022 | 26 | 2022 |
| Exploration beyond bandits F Brändle, M Binz, E Schulz The Drive for Knowledge: The Science of Human Information Seeking, 147-168, 2022 | 22 | 2022 |
| CogBench: a large language model walks into a psychology lab J Coda-Forno, M Binz, JX Wang, E Schulz International Conference on Machine Learning (ICML), 2024 | 18 | 2024 |
| In-context learning agents are asymmetric belief updaters JA Schubert, AK Jagadish, M Binz, E Schulz International Conference on Machine Learning (ICML), 2024 | 9 | 2024 |
| Reinforcement Learning with Simple Sequence Priors T Saanum, N Éltető, P Dayan, M Binz, E Schulz Advances in Neural Information Processing Systems 36, 2023 | 9 | 2023 |
| Reconstructing the Einstellung effect M Binz, E Schulz Computational Brain & Behavior 6 (3), 526-542, 2023 | 7 | 2023 |
| Zero-shot compositional reinforcement learning in humans AK Jagadish, M Binz, T Saanum, JX Wang, E Schulz PsyArXiv preprint, 2023 | 7* | 2023 |
| The acquisition of physical knowledge in generative neural networks LM Schulze Buschoff, E Schulz, M Binz International Conference on Machine Learning (ICML), 30321-30341, 2023 | 7* | 2023 |
| Where Do Heuristics Come From? M Binz, D Endres Proceedings of the 41th Annual Meeting of the Cognitive Science Society …, 2019 | 7 | 2019 |
| Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks AK Jagadish, J Coda-Forno, M Thalmann, E Schulz, M Binz International Conference on Machine Learning (ICML), 2024 | 6* | 2024 |
| How should the advent of large language models affect the practice of science? M Binz, S Alaniz, A Roskies, B Aczel, CT Bergstrom, C Allen, D Schad, ... Proceedings of the National Academy of Sciences, 2024 | 6 | 2024 |
| Centaur: a foundation model of human cognition M Binz, E Akata, M Bethge, F Brändle, F Callaway, J Coda-Forno, ... arXiv preprint arXiv:2410.20268, 2024 | 4 | 2024 |
| Machine Psychology T Hagendorff, I Dasgupta, M Binz, SCY Chan, A Lampinen, JX Wang, ... arXiv preprint arXiv:2303.13988, 2024 | 4 | 2024 |
Eric SchulzHelmholtz MunichDirección de correo verificada de helmholtz-munich.de
