Jian-Qiao Zhu

Princeton University — United States

Decision Sciences · Social Sciences

15h-index1.1kcitations91works0.72yr avg
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Research Topics

Decision-Making and Behavioral Economics(21), Bayesian Modeling and Causal Inference(11), Forecasting Techniques and Applications(10), Topic Modeling(7), Complex Systems and Time Series Analysis(6)

Publications91 total

Large Language Models Can Take False First Steps at Inference-time Planning
arXiv (Cornell University)·2026Open Access
Large Language Models Can Take False First Steps at Inference-time Planning
arXiv (Cornell University)·2026Open Access
Eliciting Trustworthiness Priors of Large Language Models via Economic Games
arXiv (Cornell University)·2026Open Access
Eliciting Trustworthiness Priors of Large Language Models via Economic Games
ArXiv.org·2026Open Access
Does Outcome Utility Bias the Mental Simulations of Risky Events?
2026Open Access
Does Outcome Utility Bias the Mental Simulations of Risky Events?
PsyArXiv (OSF Preprints)·2026Open Access
Mitigating existential risks
OSF Preprints (OSF Preprints)·2026Open Access
Integrating Heuristics and Mental Sampling in Belief Updating
2026Open Access
Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
ArXiv.org·2026Open Access
Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
arXiv (Cornell University)·2026Open Access
Limited Social Interaction during Urban Extreme Weather Exacerbate Emotion-related Behaviors Dysfunction
2026Open Access
Does Outcome Utility Bias the Mental Simulations of Risky Events?
SSRN Electronic Journal·2026Open Access
Centaur May Have Learned a Shortcut that Explains Away Psychological Tasks
2025Open Access
People make suboptimal decisions about existential risks
Cognition·2025Open Access
Centaur May Have Learned a Shortcut that Explains Away Psychological Tasks
2025· 1 citedOpen Access
Capturing the complexity of human strategic decision-making with machine learning
Nature Human Behaviour·2025· 3 cited
Computation-limited Bayesian updating: A resource-rational analysis of approximate Bayesian inference.
Psychological Review·2025
Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
arXiv (Cornell University)·2025Open Access
Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
arXiv (Cornell University)·2025Open Access
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
OSF Preprints (OSF Preprints)·2025
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Frequent Co-authors

Adam N. Sanborn(25), Nick Chater(24), Jake Spicer(14), Joakim Sundh(9), Thomas L. Griffiths(8), Pablo León-Villagrá(7), Jignesh M. Patel(7), Tak‐Wah Lam(6), Lap–Kei Lee(4), Zuyu Zhang(4), Elliot A. Ludvig(3), Navneet Potti(3), Saket Saurabh(3), Ho-Leung Chan(3), Ruibang Luo(2), Thomas K. F. Wong(2), Chi-Man Liu(2), Edward Wu(2), Wenjuan Zhu(2), Hing‐Fung Ting(2)