Publications

Peer-Reviewed Conferences

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

Ecologically rational meta-learned inference explains human category learning lab
Akshay K. Jagadish, Julian Coda-Forno, Mirko Thalmann, Eric Schulz, and Marcel Binz. International Conference on Machine Learning (ICML) (2024).

Meta-in-context learning in large language models.
Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X Wang, Eric Schulz.
Advances in Neural Information Processing Systems, 36 (2023).

Conference Workshops

Leveraging Episodic Memory to Improve World Models for Reinforcement Learning.
Julian Coda-Forno, Changmin Yu, Qinghai Guo, Zafeirios Fountas, Neil Burgess. Memory in Artificial and Real Intelligence (MemARI) workshop at NeurIPS (2022).

Preprints

Centaur: a foundation model of human cognition. Marcel Binz, … Julian Coda-Forno, … Eric Schulz (2024).

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

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