- Part 1: AI Psychometric foundations
- Part 2: How LLMs learn
- Part 3: Psychometric AI methods & tools
- Part 4: Psychometric AI hybrid models
- Part 5: End-to-end neural models
- Part 6: Critical reflections
Part 1: AI Psychometric foundations
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von Davier, A. A. (2017). Computational psychometrics in support of collaborative educational assessments. Journal of Educational Measurement, 54(1), 3-11.
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Part 2: How LLMs learn
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Dettmers, T., Pagnoni, A., Holtzman, A., & Zettlemoyer, L. (2023). QLoRA: Efficient finetuning of quantized LLMs. In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).https://arxiv.org/abs/2305.14314
Houlsby, N., Giurgiu, A., Jastrzebski, S., Morrone, B., De Laroussilhe, Q., Gesmundo, A., Attariyan, M., & Gelly, S. (2019). Parameter-efficient transfer learning for NLP. In International conference on machine learning (pp. 2790-2799). PMLR.
Hommel, B. E., Wollang, F.-J. M., Kotova, V., Zacher, H., & Schmukle, S. C. (2022). Transformer-based deep neural language modeling for construct-specific automatic item generation. Psychometrika, 87(2), 749–772. https://doi.org/10.1007/s11336-021-09823-9
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, L., Wang, W., & Chen, W. (2022). LoRA: Low-rank adaptation of large language models. In Proceedings of the International Conference on Learning Representations (ICLR 2022).https://arxiv.org/abs/2106.09685
Part 3: Psychometric AI methods & tools
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Fyffe, S., Lee, P., & Kaplan, S. (2024). “Transforming” personality scale development: Illustrating the potential of state-of-the-art natural language processing. Organizational Research Methods, 27(2), 265-300. https://journals.sagepub.com/doi/abs/10.1177/10944281231155771
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Hickman, L., Liff, J., Rottman, C., & Calderwood, C. (2024). The Effects of the Training Sample Size, Ground Truth Reliability, and NLP Method on Language-Based Automatic Interview Scores’ Psychometric Properties. Organizational Research Methods, 10944281241264027. https://journals.sagepub.com/doi/abs/10.1177/10944281241264027
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Part 4: Psychometric AI hybrid models
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Part 5: End-to-end neural models
Part 6: Critical reflections
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