About Me

I'm Yi-Long Lu (卢义龙). I am a Research Scientist at the Cognitive and Reasoning Lab at Beijing Institute for General Artificial Intelligence (BigAI). I received my Ph.D. in 2024 from the School of Psychological and Cognitive Sciences at Peking University, where I was a member of the Computational and Decision Lab (CD Lab), advised by Prof. Hang Zhang (张航).

During my Ph.D., my research centered on leveraging computational modeling to understand human decision-making. Specifically, I focused on modeling decision-making under risk through the lens of resource rationality and also explored topics in computational psychiatry.

Currently, my research focuses on investigating the decision-making mechanisms of Large Language Models (LLMs) through the lenses of cognitive science and artificial intelligence, seeking to uncover their connections to human cognition.

Google Scholar / Email: 6yilong@gmail.com

Publications

* Co-first author, # Corresponding author

Preprints

Liu, Y., Lu, Y., He, D., & Zhang, H. (2025). From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers. arXiv preprint arXiv:2511.03235.
Lu, Y. L.*#, Song, J.*, & Wang, W.# (2025). A Unified Representation Underlying the Judgment of Large Language Models. arXiv preprint arXiv:2510.27328.
Lu, Y. L., Song, J., Zhang, C., & Wang, W. (2025). Mind the Gap: The Divergence Between Human and LLM-Generated Tasks. arXiv preprint arXiv:2508.00282. (Now accepted at AAAI-26 Main Technical Track!)
Lu, Y. L.*, Zhang, C.*, Song, J., Fan, L., & Wang, W. (2025). Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?. arXiv preprint arXiv:2504.01698.

Peer-Reviewed Publications

2025

Lu, Y. L., Lu, Y. F., Ren, X., & Zhang, H. (2025). Exploring the bounded rationality in human decision anomalies through an assemblable computational framework. Cognitive Psychology, 156, 101713.
Lin, H., Lu, Y. L., Li, L., Li, J., Zhang, X., & Fung, H. H. (2025). Selectivity in prosociality among older adults: The moderation effect of self-and other-oriented motivation. Psychology and Aging.
Lu, Y. L.*#, Zhang, C.*, & Wang, W.# (2025). Systematic Bias in Large Language Models: Discrepant Response Patterns in Binary vs. Continuous Judgment Tasks. Proceedings of the 47th Annual Conference of the Cognitive Science Society. Oral

2024

Lu, Y. L.*, Ge, Y.*, Li, M., Liang, S., Zhang, X., Sui, Y., ... & Yan, H. (2024). Cognitive Phenotype Shifts in Risk Taking: Interplay of Nonsuicidal Self-Injury Behaviors and Intensified Depression. Biological psychiatry: cognitive neuroscience and neuroimaging.

2023

Lu, Y. L.*, Lu, Y. F.*, Han, Z. R., Qin, S., Zhang, X., Yi, L., & Zhang, H. (2023). Prediction From Minimal Experience: How People Predict the Duration of an Ongoing Epidemic. Cognitive Science, 47(5), e13294.
Zhu, J., Xu, H., Shi, B., Lu, Y., Chen, H., Shen, M., & Zhou, J. (2023). Completeness out of incompleteness: Inferences from regularities in imperfect information ensembles. Journal of experimental psychology: human perception and performance, 49(9), 1203.

2022

Yuan, K., Zheng, Y. B., Wang, Y. J., Sun, Y. K., Gong, Y. M., Huang, Y. T., ... & Lu, L. (2022). A systematic review and meta-analysis on prevalence of and risk factors associated with depression, anxiety and insomnia in infectious diseases, including COVID-19: a call to action. Molecular psychiatry, 27(8), 3214-3222.

Last update: Jul 2025

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