| 2025 | CogSci | Evaluating sensorimotor knowledge in large language models. | John Hollander |
| 2025 | HCI | Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty. | Yoshee Jain, John Hollander, Amber He, Sunny Tang, Liang Zhang, John Sabatini |
| 2024 | HCI | Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. | Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu |
| 2023 | AIED | Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts. | John Sabatini, John Hollander |
| 2023 | CogSci | The spatial role of verbs in embodied language processing. | John Hollander, Andrew Olney |
| 2022 | AIED | How Item and Learner Characteristics Matter in Intelligent Tutoring Systems Data. | John Hollander, John Sabatini, Art Graesser |
| 2022 | EDM | Effect of Q-matrix Misspecification on Variational Autoencoders (VAE) for Multidimensional Item Response Theory (MIRT) Models Estimation. | Mahbubul Hasan, Lih-Yuan Deng, John Sabatini, Dale Bowman, Ching-Chi Yang, John Hollander |
| 2021 | CogSci | Vertical directionality ratings as lexical norms for English verbs. | John Hollander, Andrew Olney |
| 2015 | ICMLA | Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective. | Dimitris Paraschakis, Bengt J. Nilsson, John Hollander |