Publikationen: 
Computational Principles of Intelligence

Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. Nature Human Behaviour Epub ahead (2025)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. PLOS Computational Biology 21 (5), e1012814 (2025)

Abel, L.; Schulz, E.; Nelson, N.: Subjective probability is modulated by emotions. Scientific Reports 15 (1), 8895 (2025)

Ben-Zion; Witte, K.; Jagadish, A.; Duek, O.; Harpaz-Rotem, I.; Khorsandian, M.-C.; Burrer, A.; Seifritz, E.; Homann, P.; Schulz, E. et al.; Spiller, T.: Assessing and alleviating state anxiety in large language models. npj digital medicine 8 (1), 132 (2025)

Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shiffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advancement of large language models affect the practice of science? Proceedings of the National Academy of Sciences of the United States of America 122 (5), e2401227121 (2025)

Schulze Buschoff, L.; Akata, E.; Bethge, M.; Schulz, E.: Visual cognition in multimodal large language models. Nature Machine Intelligence 7, S. 96 - 106 (2025)

Wu, C.; Meder, B.; Schulz, E.: Unifying principles of generalization: past, present, and future. Annual Review of Psychology 76, S. 275 - 302 (2025)

Demircan, C.; Saanum, T.; Jagadish, A.; Binz, M.; Schulz, E.: Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore (2025)

Rmus, M.; Jagadish, A.; Mathony, M.; Ludwig, T.; Schulz, E.: Towards Automation of Cognitive Modeling using Large Language Models. (eingereicht)