Publications & Presentations & Resources

SocialVeil: Probing social intelligence of language agents under communication barriers.

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Cite: Xuan, K., Wang, P., Ye, C., Yu, H., August, T., & You, J. (2026). SocialVeil: Probing social intelligence of language agents under communication barriers. Conference on Language Modeling (COLM). https://doi.org/10.48550/arXiv.2602.05115

Modeling individual language patterns and psychological constructs to generate AI-augmented data for scalable psychological assessment.

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Cite: Wang, P., Chen, H., Oswald, F. L., & Sun, T. (2026). Modeling individual language patterns and psychological constructs to generate AI-augmented data for scalable psychological assessment. Assessment. https://doi.org/10.1177/10731911261455483

Generative personality simulation via theory-informed structured interview.

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Cite: Wang, P., Zou, H., Jiang, H., Chen, H., Sun, T., Yi, X., Xiao, Z., & Oswald, F. L. (2026). Generative personality simulation via theory-informed structured interview. European Chapter of the Association for Computational Linguistics (EACL). https://doi.org/10.18653/v1/2026.eacl-long.82

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. Conference on Language Modeling (COLM). https://doi.org/10.48550/arXiv.2412.00207

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. (2025). Advancing organizational science through synthetic data: A path to enhanced data sharing and collaboration. Journal of Business and Psychology, 40(4), 771–797. https://doi.org/10.1007/s10869-024-09997-w

🏅Editor Commendation (top 22 out of 1600 articles)

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, 17(3), 309–313. 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. Conference on Language Modeling (COLM). 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

An introduction to explainable artificial intelligence applications for industrial-organizational psychology.

DOI BibTeX

Cite: Pitcher, B. D., & Wang, P. (2026). An introduction to explainable artificial intelligence applications for industrial-organizational psychology. In Thompson, I., Yankov, G., & Hernandez, I. (Eds.), Artificial Intelligence for I-O Psychologists: Research and Applications. Oxford University Press. https://doi.org/10.1093/9780197807309.001.0001

Building an atlas of social experiments to link studies, reconcile conflicts, and bridge gaps.

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Cite: Zhang, J.*, Bao, H.*, Wang, P.*, Yan, A.*, Liu, X., & Evans, J. A. (2026). Building an atlas of social experiments to link studies, reconcile conflicts, and bridge gaps. arXiv (Cornell University). https://doi.org/10.48550/arXiv.2605.27153

[pre-print]

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]

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]

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]

• Xuan, K., Wang, P., Ye, C., Yu, H., August, T., & You, J. (2026). SocialVeil: Probing social intelligence of language agents under communication barriers. [Poster]. Conference on Language Modeling (COLM 2026), San Francisco, CA, United States.

• Wang, P., Chen, H., Oswald, F. L., & Sun, T. (2026). Modeling individual language patterns and psychological constructs to generate AI-augmented data for scalable psychological assessment. [Oral Presentation]. European Conference on Personality (ECP 2026), Edinburgh, Scotland.

• Wang, P., Stewart, D., Akinyemi, A., Waite, L., & Sun, T. (2026). Psychometric AI for applied personality assessment in high-performance athletes. [Oral Presentation]. European Conference on Personality (ECP 2026), Edinburgh, Scotland.

• Wang, P., Hou, X., Sun, T., & Tay, L. (2026). Multimodal integration in MLLMs for vocational interest assessment: A validation study using interview videos. [Oral Presentation]. Association for Psychological Science Annual Conference (APS 2026), Barcelona, Spain.

• Seitz, C., Sylvara, A., Wang, P., Heron, X., & Sun, T. (2026). Leveraging transformers in organizational contexts: Practical applications for I-O psychologists and HR practitioners. [Master Tutorial]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Sylvara, A., Seitz, C., Wang, P., Sun, T., Hickman, L., & Lievens, F. (2026). Automating assessment center role-play exercises: Development of an artificial intelligence chatbot. In Liu, M., & Hickman, L. (Co-Chairs) (2026). Machine learning for I-O 8.0: Probing the frontier of LLM applications. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Sylvara, A., Sargent, M., Wang, P., Heron, X., & Sun, T. (2026). This is me trying... to fake using AI: Examination of human faking and AI-assisted faking on an AI chatbot personality interview. In Campion, E. D. (Chair) (2026). Misbehavin': Candidate cheating and faking in hiring with AI. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Heron, X., Wang, P., & Sun, T. (2026). Automated social desirability ratings with LLMs: Advancing the accessibility of forced-choice measurement for practitioners and researchers. In Jia, Z., & Lee, P. (Co-Chairs) (2026). Novel applications of LLM in measurement. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Ortiz, N., Wang, P., & Sun, T. (2026). Starting with keywords: User Reactions to a novel AI interview method to improve personality evaluation. In Liou, G., & Hou, X. (Co-Chairs) (2026). AI-ttitudes: Causes and effects of user attitudes toward AI tools in organizations. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Wang, P., Hou, X., Sun, T., & Tay, L. (2026). Multimodal integration in MLLMs for vocational interest assessment: A validation study using interview videos. In Liu, M., & Hickman, L. (Co-Chairs) (2026). Machine learning for I-O 8.0: Large language models for assessments. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Wang, P., Oswald, F. L., & Sun, T. (2026). "I've read your stories, I know who you are": Linking life narratives to dispositional traits using large language models. In Yankov, G. P. (Chair) (2026). Synthetic personality: Conceptual and research encounters. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Wang, P. (2026). SIOP machine learning competition winners' solution. In Hernandez, I., Thompson, I., & Zhu, E. (Co-Chairs) (2026). The 2026 SIOP machine learning competition. [Symposium]. Society for Industrial and Organizational Psychology Annual Conference (SIOP 2026), New Orleans, LA, United States.

• Wang, P., Zou, H., Jiang, H., Chen, H., Sun, T., Yi, X., Xiao, Z., & Oswald, F. L. (2026). Generative personality simulation via theory-informed structured interview. [Oral Presentation]. The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026), Rabat, Morocco.

• 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. [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.