Benjamin W. Domingue

According to our database, Benjamin W. Domingue authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AI Cartography: Mapping the Latent Landscape of AI Benchmark Ecosystems.

Michael Hardy, Anka Reuel, Lijin Zhang, Jodi M. Casabianca, Sang T. Truong, Yash Dave, Hansol Lee, Benjamin W. Domingue, Sanmi Koyejo

CoRR, May, 2026

Understanding Student Effort Using Response-Time Propensities During Problem Solving.

Conrad Borchers, Lijin Zhang, Kexin Bella Yang, Tomohiro Nagashima, Benjamin W. Domingue

CoRR, May, 2026

Revisiting the Regularity of Student Learning Rate: Sensitivity to Which Observations Are Included.

Hansol Lee, Guilherme Lichand, Cristina Barnard, Lucas Klotz, Candace Thille, Yunsung Kim, Benjamin W. Domingue

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Understanding Student Effort Using Response-Time Propensities During Problem Solving.

Conrad Borchers, Lijin Zhang, Kexin Yang, Tomohiro Nagashima, Benjamin W. Domingue

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study.

Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Benjamin W. Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, June, 2025

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, February, 2025

2024

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

2021

Modeling Item Response Theory with Stochastic Variational Inference.

Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman

CoRR, 2021

2020

Variational Item Response Theory: Fast, Accurate, and Expressive.

Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019

Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory.

Ajay Shanker Tripathi, Benjamin W. Domingue

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019