| 2026 | AIED | LLM-Based Virtual Standardized Patients with Response Excessiveness Suppression via Direct Preference Optimization for Medical Interview Examinations. | Naoki Shindo, Masaki Uto |
| 2026 | AIED | Has Automated Essay Scoring Reached Sufficient Accuracy? Deriving Achievable QWK Ceilings from Classical Test Theory. | Masaki Uto |
| 2026 | AIED | An Item Response Theory Model for Addressing Halo Effects in Performance Assessment. | Masaki Uto, Ryota Kitakaze |
| 2025 | AIED | Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding is Hinted. | Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda |
| 2025 | AIED | Virtual Simulated Patients for Medical Interviews Using Large Language Models with a Self-refinement Mechanism to Suppress Excessive Responses. | Naoki Shindo, Masaki Uto |
| 2024 | AIED | Collaborative Essay Evaluation with Human and Neural Graders Using Item Response Theory Under a Nonequivalent Groups Design. | Kota Aramaki, Masaki Uto |
| 2024 | AIED | ChatGPT-Based Virtual Standardized Patient that Amends Overly Detailed Responses in Objective Structured Clinical Examinations. | Naoki Shindo, Masaki Uto |
| 2024 | AIED | Difficulty-Controllable Multiple-Choice Question Generation for Reading Comprehension Using Item Response Theory. | Yuto Tomikawa, Masaki Uto |
| 2024 | AIED | Neural Automated Essay Scoring for Improved Confidence Estimation and Score Prediction Through Integrated Classification and Regression. | Masaki Uto, Yuto Takahashi |
| 2024 | ICCE | Enhancing Diversity in Difficulty-Controllable Question Generation for Reading Comprehension via Extended T5. | Teruyoshi Goto, Yuto Tomikawa, Masaki Uto |
| 2024 | ICCE | Difficulty-Controllable Reading Comprehension Question Generation Considering the Difficulty of Reading Passages. | Yuto Tomikawa, Masaki Uto |
| 2024 | IV | Estimating Scores of Critical Thinking Ability Using Essay Text Assessments. | Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto |
| 2023 | AIED | Neural Automated Essay Scoring Considering Logical Structure. | Misato Yamaura, Itsuki Fukuda, Masaki Uto |
| 2023 | ICALT | Neural Automated Short-Answer Grading Considering Examinee-Specific Features. | Masaki Uto |
| 2023 | IV | Feasibility of Prediction of Student's Characteristics Using Texts of Essays Written During a Fully Online Course. | Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto |
| 2022 | COLING | Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory. | Takumi Shibata, Masaki Uto |
| 2021 | AIED | Integration of Automated Essay Scoring Models Using Item Response Theory. | Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno |
| 2021 | AIED | A Multidimensional Item Response Theory Model for Rubric-Based Writing Assessment. | Masaki Uto |
| 2020 | AIED | Robust Neural Automated Essay Scoring Using Item Response Theory. | Masaki Uto, Masashi Okano |
| 2020 | AIED | Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory. | Masaki Uto, Yuto Uchida |
| 2020 | COLING | Neural Automated Essay Scoring Incorporating Handcrafted Features. | Masaki Uto, Yikuan Xie, Maomi Ueno |
| 2020 | IV | Impact of the number of peers on a mutual assessment as learner's performance in a simulated MOOC environment using the IRT model. | Minoru Nakayama, Filippo Sciarrone, Masaki Uto, Marco Temperini |
| 2019 | AIED | Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability. | Masaki Uto |
| 2018 | AIED | Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score. | Masaki Uto, Maomi Ueno |
| 2017 | AIED | Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory. | Masaki Uto, Nguyen Duc Thien, Maomi Ueno |
| 2015 | AIED | Item Response Model with Lower Order Parameters for Peer Assessment. | Masaki Uto, Maomi Ueno |
| 2015 | ICCE | Reliable Peer Assessment for Team-project-based Learning using Item Response Theory. | Nguyen Duc Thien, Masaki Uto, Yu Abe, Maomi Ueno |
| 2015 | ICALT | Academic Writing Support System Using Bayesian Networks. | Masaki Uto, Maomi Ueno |