Binz, Marcel

Using cognitive psychology to understand GPT-3

Binz, M., & Schulz, E. (2023) · Proceedings of the National Academy of Sciences

Topic ModelingPsychiatry, Mental Health, Neuroscience

Cited by 559

A foundation model to predict and capture human cognition

Binz, M., Akata, E., Bethge, M., Brändle, F., Callaway, F., Coda-Forno, J., Dayan, P., Demircan, C., Eckstein, M. K., Éltető, N., et al. (2025) · Nature

Cognitive Science and Education ResearchDecision-Making and Behavioral Economics

Cited by 119

How should the advancement of large language models affect the practice of science?

Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C. T., Allen, C., Schad, D., Wulff, D., West, J. D., Zhang, Q., et al. (2025) · Proceedings of the National Academy of Sciences

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 74

Meta-learned models of cognition

Binz, M., Dasgupta, I., Jagadish, A. K., Botvinick, M., Wang, J. X., & Schulz, E. (2024) · Behavioral and Brain Sciences

Cognitive Science and Education ResearchBayesian Modeling and Causal Inference

Cited by 38

Heuristics from bounded meta-learned inference.

Binz, M., Gershman, S. J., Schulz, E., & Endres, D. (2022) · Psychological Review

Decision-Making and Behavioral EconomicsCategorization, perception, and language

Cited by 31

Meta-in-context learning in large language models

Coda-Forno, J., Binz, M., Akata, Z., Botvinick, M., Wang, J., & Schulz, E. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

CogBench: a large language model walks into a psychology lab

Coda-Forno, J., Binz, M., Wang, J. X., & Schulz, E. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15