Publications & Presentations & Resources

The incomplete bridge: How AI research (mis)engages with psychology.

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Cite: Jiang, H.*, Wang, P.*, Yi, X., Xie, X., & Xiao, Z. (2025). The incomplete bridge: How AI research (mis)engages with psychology. arXiv (Cornell University). https://doi.org/10.48550/arXiv.2507.22847

[pre-print]

Can LLM "self-report"?: Evaluating the validity of self-report scales in measuring personality design in LLM-based chatbots.

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Cite: Zou, H., Wang, P., Yan, Z., Sun, T., & Xiao, Z. (2025). Can LLM "self-report"?: Evaluating the validity of self-report scales in measuring personality design in LLM-based chatbots. The Conference on Language Modeling (COLM 2025). https://doi.org/10.48550/arXiv.2412.00207

Personality structured interview for large language model simulation in personality research.

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Cite: Wang, P., Zou, H., Chen, H., Sun, T., Xiao, Z., & Oswald, F. L. (2025). Personality structured interview for large language model simulation in personality research. arXiv (Cornell University). https://doi.org/10.48550/arXiv.2502.12109

[pre-print]

Automating personality-based employment interviews: Development and validation of an artificial intelligence chatbot.

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Cite: Sylvara, A., Wang, P., Sun, T., Heimann, A. L., & Ingold, P. V. (2025). Automating personality-based employment interviews: Development and validation of an artificial intelligence chatbot. OSF. https://doi.org/10.31234/osf.io/9ktmf_v3

[pre-print]

Advancing organizational science through synthetic data: A path to enhanced data sharing and collaboration.

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Cite: Wang, P., Loignon, A. C., Shrestha, S., Banks, G. C., & Oswald, F. L. (2024). Advancing organizational science through synthetic data: A path to enhanced data sharing and collaboration. Journal of Business and Psychology. https://doi.org/10.31234/osf.io/4qbjz

🏅Editor Commendation (22/over 1600)

From babbling to fluency: Evaluating the evolution of language models in terms of human language acquisition.

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Cite: Yang, Y.*, Wang, P.*, Plonsky, L. D., Oswald, F. L., & Chen, H. (2024). From babbling to fluency: Evaluating the evolution of language models in terms of human language acquisition. arXiv (Cornell University). https://doi.org/10.48550/arXiv.2410.13259

[pre-print]

Not yet: Large language models cannot replace human respondents for psychometric research.

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Cite: Wang, P., Zou, H., Yan, Z., Guo, F., Sun, T., Xiao, Z., & Zhang, B. (2024). Not yet: Large language models cannot replace human respondents for psychometric research. OSF. https://doi.org/10.31219/osf.io/rwy9b

[pre-print]

On putting the horse (raters and criteria) before the cart (variance components in ratings).

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Cite: Wang, P., Myeong, H., & Oswald, F. L. (2024). On putting the horse (raters and criteria) before the cart (variance components in ratings). Industrial and Organizational Psychology, 1-5. https://doi.org/10.1017/iop.2024.16

Will the real Linda please stand up... To large language models? Examining the representativeness heuristic in LLMs.

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Cite: Wang, P.*, Xiao, Z.*, Chen, H., & Oswald, F. L. (2024). Will the real Linda please stand up... To large language models? Examining the representativeness heuristic in LLMs. The Conference on Language Modeling (COLM 2024). https://doi.org/10.48550/arxiv.2404.01461

🏅Oral Spotlight Presentation (top 2%)

The weight of beauty in psychological research.

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Cite: Myeong, H., Wang, P., & King, E. B. (2024). The weight of beauty in psychological research. Industrial and Organizational Psychology, 17(1), 111–114. https://doi.org/10.1017/iop.2023.87

• Wang, P., Sylvara, A., Sun, T., Hebl, M. R., & Oswald, F. L. (2025). Differential embedding dimension functioning in natural language processing for psychological assessment. [Oral presentation]. International Meeting of the Psychometric Society (IMPS 2025), Minneapolis, MN, United States.

• Wang, P., & Oswald, F. L. (Co-Chairs) (2025). Bridging Disciplines: How Computer Science and I-O Psychology Benefit Each Other [Alternative Session Type]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2025), Denver, CO, United States.

• Wang, P., Zou, H., Yan, Z., Guo, F., Sun, T., Xiao, Z., & Zhang, B. (2025). Not yet: Large language models cannot replace human respondents for psychometric research. In Hickman, L., & Liu, M.(Co-Chairs) (2025). Machine learning for I-O 7.0: Large language models for assessments [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2025), Denver, CO, United States.

• Wang, P., Sylvara, A., Sun, T., Hebl, M. R., & Oswald, F. L. (2025). Differential embedding dimension functioning in natural language processing for psychological assessment. In Hou, D. X., & Sun, T. (Co-Chairs) (2025). Innovations in AI assessment of individual differences: Improving validity and equity [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2025), Denver, CO, United States.

• Wang, P.*, Xiao, Z.*, Chen, H., & Oswald, F. L. (2024). Will the real Linda please stand up... To large language models? Examining the representativeness heuristic in LLMs [Oral presentation]. The Conference on Language Modeling (COLLM 2024), Philadelphia, PA, United States. 🏅Oral spotlight presentation (top 2%)

• Wu, F., Wang, P., & Oswald, F. O. (2024). The influence of disability and career challenges on vocational interests. In Hoff, K. A. (Chair) (2024). To RIASEC and beyond: Advances in vocational interest research [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2024), Chicago, IL, United States.

• Wang, P., & Oswald, F. L. (2024). Leveraging synthetic data for advancements in organizational research. In Liou, G., & Tay, L. (Co-Chairs) (2024). Future of performance prediction and evaluation: Artificial intelligence and big data [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2024), Chicago, IL, United States.