Jian-Qiao Zhu

CoRR, May, 2025

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions.

[BibT_eX]

[DOI]

CoRR, May, 2025

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints.

[BibT_eX]

[DOI]

CoRR, May, 2025

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis.

[BibT_eX]

[DOI]

CoRR, March, 2025

What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Capturing the Complexity of Human Strategic Decision-Making with Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Eliciting the Priors of Large Language Models using Iterated In-Context Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2024

Incoherent Probability Judgments in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Deep de Finetti: Recovering Topic Distributions from Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Bayes in the age of intelligent machines.

[BibT_eX]

[DOI]

CoRR, 2023

Computation-Limited Bayesian Updating.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms.

[BibT_eX]

[DOI]

Feng Xia

Tom Griffiths

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Understanding the structure of cognitive noise.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

Sampling as the Human Approximation to Probabilistic Inference.

[BibT_eX]

[DOI]

Proceedings of the Human-Like Machine Intelligence., 2022

2020

How many instances come to mind when making probability estimates?

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Bayesian Inference Causes Incoherence in Human Probability Judgments.

[BibT_eX]

[DOI]

Adam Sanborn

Nicholas Chater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Why Decisions Bias Perception: An Amortised Sequential Sampling Account.

[BibT_eX]

[DOI]

Adam Sanborn

Nick Chater

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Mental Sampling in Multimodal Representations.

[BibT_eX]

[DOI]

Adam Sanborn

Nick Chater

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Information Seeking as Chasing Anticipated Prediction Errors.

[BibT_eX]

[DOI]