Jian-Qiao Zhu

According to our database, Jian-Qiao Zhu authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Jian-Qiao Zhu, Joshua C. Peterson, Benjamin Enke, Thomas L. Griffiths

CoRR, 2024

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

Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, 2024

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

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

CoRR, 2024

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

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

CoRR, 2024

Incoherent Probability Judgments in Large Language Models.

Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, 2024

2023

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

Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths

CoRR, 2023

Bayes in the age of intelligent machines.

Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy

CoRR, 2023

Computation-Limited Bayesian Updating.

Jian-Qiao Zhu, Adam Sanborn, Nick Chater, Tom Griffiths

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

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

Feng Xia, Jian-Qiao Zhu, Tom Griffiths

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

2022

Understanding the structure of cognitive noise.

Jian-Qiao Zhu, Pablo León-Villagrá, Nick Chater, Adam N. Sanborn

PLoS Comput. Biol., 2022

Sampling as the Human Approximation to Probabilistic Inference.

Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater

Proceedings of the Human-Like Machine Intelligence., 2022

2020

How many instances come to mind when making probability estimates?

Joakim Sundh, Jian-Qiao Zhu, Nicholas Chater, Adam Sanborn

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

2019

Bayesian Inference Causes Incoherence in Human Probability Judgments.

Jian-Qiao Zhu, 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.

Jian-Qiao Zhu, Adam Sanborn, Nick Chater

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

2018

Mental Sampling in Multimodal Representations.

Jian-Qiao Zhu, 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.

Jian-Qiao Zhu, Wendi Xiang, Elliot A. Ludvig

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017