Participants and Organization
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Hussain, Z., Binz, M., Mata, R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior Research Methods, 56(8), 8214-8237.
Hommel, B. E., & Arslan, R. C. (2024). Language models accurately infer correlations between psychological items and scales from text alone. PsyArXiv
Wulff, D. U., & Mata, R. (2025). Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement. Nature Human Behaviour, 1-11.
Pellert, M., Lechner, C. M., Wagner, C., Rammstedt, B., & Strohmaier, M. (2024). Ai psychometrics: Assessing the psychological profiles of large language models through psychometric inventories. Perspectives on Psychological Science, 19(5), 808-826.
Sühr, T., Dorner, F. E., Salaudeen, O., Kelava, A., & Samadi, S. (2025). Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead. arXiv preprint arXiv:2507.23009
Lutz, M., Sen, I., Ahnert, G., Rogers, E., & Strohmaier, M. (2025). The Prompt Makes the Person (a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models. arXiv preprint arXiv:2507.16076.