Eric Schulz

12

Papers

42

Total Citations

Papers (12)

Probing the Compositionality of Intuitive Functions

Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models

Generating Computational Cognitive models using Large Language Models

NeurIPS 2025arXiv

CogBench: a large language model walks into a psychology lab

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks

In-Context Learning Agents Are Asymmetric Belief Updaters

Concept-Guided Interpretability via Neural Chunking

NeurIPS 2025arXiv

Modeling Human Exploration Through Resource-Rational Reinforcement Learning

Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking

Reinforcement Learning with Simple Sequence Priors

Meta-in-context learning in large language models

In-Context Impersonation Reveals Large Language Models' Strengths and Biases