Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory. - Ajay Shanker Tripathi; Benjamin W. Domingue (ICDM, 2019)

AI and Holistic Review: Informing Human Reading in College Admissions. - A. J. Alvero; Noah Arthurs; Anthony Lising Antonio; Benjamin W. Domingue; Ben Gebre-Medhin; Sonia Giebel; Mitchell L. Stevens (AIES, 2020)

Variational Item Response Theory: Fast, Accurate, and Expressive. - Mike Wu; Richard Lee Davis; Benjamin W. Domingue; Chris Piech; Noah D. Goodman (EDM, 2020)

Modeling Item Response Theory with Stochastic Variational Inference. - Mike Wu; Richard Lee Davis; Benjamin W. Domingue; Chris Piech; Noah D. Goodman (CoRR, 2021)

Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models. - Joy He-Yueya; Wanjing Anya Ma; Kanishk Gandhi; Benjamin W. Domingue; Emma Brunskill; Noah D. Goodman (CoRR, 2024)

Prediction of Item Difficulty for Reading Comprehension Items by Creation of Annotated Item Repository. - Radhika Kapoor; Sang T. Truong; Nick Haber; Maria Araceli Ruiz-Primo; Benjamin W. Domingue (CoRR, 2025)

Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time. - Hansol Lee; Jason B. Cho; David S. Matteson; Benjamin W. Domingue (CoRR, 2025)