Meta-in-context learning in large language models. - Julian Coda-Forno; Marcel Binz; Zeynep Akata; Matt M. Botvinick; Jane X. Wang; Eric Schulz (NeurIPS, 2023)

Inducing anxiety in large language models increases exploration and bias. - Julian Coda-Forno; Kristin Witte; Akshay K. Jagadish; Marcel Binz; Zeynep Akata; Eric Schulz (CoRR, 2023)

Playing repeated games with Large Language Models. - Elif Akata; Lion Schulz; Julian Coda-Forno; Seong Joon Oh; Matthias Bethge; Eric Schulz (CoRR, 2023)

CogBench: a large language model walks into a psychology lab. - Julian Coda-Forno; Marcel Binz; Jane X. Wang; Eric Schulz (ICML, 2024)

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. - Akshay K. Jagadish; Julian Coda-Forno; Mirko Thalmann; Eric Schulz; Marcel Binz (ICML, 2024)

Ecologically rational meta-learned inference explains human category learning. - Akshay K. Jagadish; Julian Coda-Forno; Mirko Thalmann; Eric Schulz; Marcel Binz (CoRR, 2024)

Centaur: a foundation model of human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (CoRR, 2024)