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Jian-Qiao Zhu
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Journal Articles
- 2022
- [j1]Jian-Qiao Zhu
, Pablo León-Villagrá, Nick Chater, Adam N. Sanborn
:
Understanding the structure of cognitive noise. PLoS Comput. Biol. 18(8) (2022)
Conference and Workshop Papers
- 2023
- [c7]Feng Xia, Jian-Qiao Zhu, Tom Griffiths:
Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms. CogSci 2023 - [c6]Jian-Qiao Zhu, Adam Sanborn, Nick Chater, Tom Griffiths:
Computation-Limited Bayesian Updating. CogSci 2023 - 2020
- [c5]Joakim Sundh, Jian-Qiao Zhu, Nicholas Chater, Adam Sanborn:
How many instances come to mind when making probability estimates? CogSci 2020 - 2019
- [c4]Jian-Qiao Zhu, Adam Sanborn, Nick Chater:
Why Decisions Bias Perception: An Amortised Sequential Sampling Account. CogSci 2019: 3220-3226 - [c3]Jian-Qiao Zhu, Adam Sanborn, Nicholas Chater:
Bayesian Inference Causes Incoherence in Human Probability Judgments. CogSci 2019: 3617 - 2018
- [c2]Jian-Qiao Zhu, Adam Sanborn, Nick Chater:
Mental Sampling in Multimodal Representations. NeurIPS 2018: 5753-5764 - 2017
- [c1]Jian-Qiao Zhu, Wendi Xiang, Elliot A. Ludvig:
Information Seeking as Chasing Anticipated Prediction Errors. CogSci 2017
Parts in Books or Collections
- 2022
- [p1]Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater:
Sampling as the Human Approximation to Probabilistic Inference. Human-Like Machine Intelligence 2022: 430-448
Informal and Other Publications
- 2024
- [i7]Jian-Qiao Zhu, Thomas L. Griffiths:
Incoherent Probability Judgments in Large Language Models. CoRR abs/2401.16646 (2024) - [i6]Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths:
Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo. CoRR abs/2401.16657 (2024) - [i5]Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths:
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice. CoRR abs/2405.19313 (2024) - [i4]Jian-Qiao Zhu, Thomas L. Griffiths:
Eliciting the Priors of Large Language Models using Iterated In-Context Learning. CoRR abs/2406.01860 (2024) - 2023
- [i3]Thomas L. Griffiths, Jian-Qiao Zhu, Erin Grant, R. Thomas McCoy:
Bayes in the age of intelligent machines. CoRR abs/2311.10206 (2023) - [i2]Liyi Zhang, R. Thomas McCoy, Theodore R. Sumers, Jian-Qiao Zhu, Thomas L. Griffiths:
Deep de Finetti: Recovering Topic Distributions from Large Language Models. CoRR abs/2312.14226 (2023) - 2017
- [i1]Jian-Qiao Zhu, Adam N. Sanborn
, Nick Chater:
Mental Sampling in Multimodal Representations. CoRR abs/1710.05219 (2017)
Coauthor Index
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
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