Publications & Presentations & Resources

A comprehensive overview of my research publications and conference presentations in psychology, AI, and related fields. Also, a selection of tools and platforms I personally create or recommend for research, analysis, and open science.

Resources

Personality Reading List

A curated list of literature for anyone interested in personality research.

Publications

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

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

PDF DOI BibTeX

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.

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

PDF DOI Code BibTeX

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. 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.

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

PDF DOI Code BibTeX

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.

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

PDF DOI BibTeX

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.

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

PDF DOI Code BibTeX

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 (top 22 out of 1600 articles)
From babbling to fluency: Evaluating the evolution of language models in terms of human language acquisition.

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

PDF DOI Code BibTeX

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.

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

PDF DOI Code BibTeX

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).

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

PDF DOI BibTeX

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?

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

PDF DOI Code BibTeX

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. 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.

The weight of beauty in psychological research.

PDF DOI BibTeX

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

Conference Presentations

• Zou, H., Wang, P., Yan, x., Sun, T., & Xiao, Z. (2025). Can LLM "self-report"?: Evaluating the validity of self-report scales in measuring personality design in LLM-based chatbots. [Poster]. Conference on Language Modeling (COLM 2025), Montreal, QC, Canada.

• 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]. Conference on Language Modeling (COLM 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.