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Marcel Binz
Marcel Binz
Helmholtz Munich
Verified email at helmholtz-munich.de - Homepage
Title
Cited by
Cited by
Year
Using cognitive psychology to understand GPT-3
M Binz, E Schulz
Proceedings of the National Academy of Sciences, 2023
3422023
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
402023
Heuristics From Bounded Meta-Learned Inference
M Binz, SJ Gershman, E Schulz, D Endres
Psychological Review, 2022
282022
Turning large language models into cognitive models
M Binz, E Schulz
International Conference on Learning Representations (ICLR), 2023
242023
Meta-learned models of cognition
M Binz, I Dasgupta, A Jagadish, M Botvinick, JX Wang, E Schulz
Behavioral and Brain Sciences, 2023
222023
Modeling human exploration through resource-rational reinforcement learning
M Binz, E Schulz
Advances in Neural Information Processing Systems 35, 31755-31768, 2022
182022
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
172023
Exploration beyond bandits
F Bršndle, M Binz, E Schulz
The Drive for Knowledge: The Science of Human Information Seeking, 147-168, 2022
162022
Where Do Heuristics Come From?
M Binz, D Endres
Proceedings of the 41th Annual Meeting of the Cognitive Science Society†…, 2019
72019
A tutorial on open-source large language models for behavioral science
Z Hussain, M Binz, R Mata, DU Wulff
PsyArXiv preprint, 2023
52023
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, ...
arXiv preprint arXiv:2312.03759, 2023
42023
Zero-shot compositional reinforcement learning in humans
AK Jagadish, M Binz, T Saanum, JX Wang, E Schulz
PsyArXiv preprint, 2023
42023
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
4*2023
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
32024
Reconstructing the Einstellung effect
M Binz, E Schulz
Computational Brain & Behavior 6 (3), 526-542, 2023
32023
Emulating Human Developmental Stages with Bayesian Neural Networks
M Binz, D Endres
arXiv preprint arXiv:1902.07579, 2019
32019
A Rational Analysis of the Optimism Bias using Meta-Reinforcement Learning
JA Schubert, AK Jagadish, M Binz, E Schulz
Conference on Cognitive Computational Neuroscience (CCN 2023), 557-559, 2023
22023
Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks
C Demircan, T Saanum, L Pettini, M Binz, BM Baczkowski, P Kaanders, ...
arXiv preprint arXiv:2306.09377, 2023
22023
Reinforcement Learning with Simple Sequence Priors
T Saanum, N …ltető, P Dayan, M Binz, E Schulz
Advances in Neural Information Processing Systems 36, 2023
22023
Decision-making with naturalistic options
C Demircan, L Pettini, T Saanum, M Binz, BM Baczkowski, C Doeller, ...
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
22022
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