Masaki Uto

48 papers A 3B 4C 6Journal 13Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization.
IEEE Access
Yuto Tomikawa, Masaki Uto
2026 J jnl
Misconception-Aware Prompting Can Generate Authentic Analytical Multiple-Choice Questions.
IEEE Access
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
2025 J jnl
Cross-Prompt Automated Essay Scoring via Reinforcement Learning-Based Data Valuation.
IEEE Access
Takumi Shibata, Masaki Uto
2025 J jnl
Difficulty-Controllable Multiple-Choice Question Generation Using Large Language Models and Direct Preference Optimization.
CoRR
Yuto Tomikawa, Masaki Uto
2025 J jnl
Leveraging AI Graders for Missing Score Imputation to Achieve Accurate Ability Estimation in Constructed-Response Tests.
CoRR
Masaki Uto, Yuma Ito
2025 — conf
Scoring Indonesian Research Proposals via LLM-Based Pairwise Comparison and Summarization.
IALP
Muhammad Reiza Syaifullah, Masaki Uto
2025 J jnl
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding Is Hinted.
CoRR
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
2025 — conf
Tell Me Who Your Students Are: GPT Can Generate Valid Multiple-Choice Questions When Students' (Mis)Understanding is Hinted.
AIED Companion (2)
Machi Shimmei, Masaki Uto, Yuichiroh Matsubayashi, Kentaro Inui, Aditi Mallavarapu, Noboru Matsuda
2024 J jnl
Adaptive Question-Answer Generation With Difficulty Control Using Item Response Theory and Pretrained Transformer Models.
IEEE Trans. Learn. Technol.
Yuto Tomikawa, Ayaka Suzuki, Masaki Uto
2024 — conf
Appropriate Number of Raters for IRT Based Peer Assessment Evaluation of Programming Skills.
ITHET
Minoru Nakayama, Masaki Uto, Marco Temperini, Filippo Sciarrone
2024 — conf
ChatGPT-Based Virtual Standardized Patient that Amends Overly Detailed Responses in Objective Structured Clinical Examinations.
AIED Companion (1)
Naoki Shindo, Masaki Uto
2024 — conf
Collaborative Essay Evaluation with Human and Neural Graders Using Item Response Theory Under a Nonequivalent Groups Design.
AIED Companion (2)
Kota Aramaki, Masaki Uto
2024 — conf
Difficulty-Controllable Multiple-Choice Question Generation for Reading Comprehension Using Item Response Theory.
AIED Companion (1)
Yuto Tomikawa, Masaki Uto
2024 C conf
Difficulty-Controllable Reading Comprehension Question Generation Considering the Difficulty of Reading Passages.
ICCE
Yuto Tomikawa, Masaki Uto
2024 — conf
Enhancing Cross-prompt Automated Essay Scoring by Selecting Training Data Based on Reinforcement Learning.
EcalLAC@AIED
Takumi Shibata, Masaki Uto
2024 C conf
Enhancing Diversity in Difficulty-Controllable Question Generation for Reading Comprehension via Extended T5.
ICCE
Teruyoshi Goto, Yuto Tomikawa, Masaki Uto
2024 C conf
Estimating Scores of Critical Thinking Ability Using Essay Text Assessments.
IV
Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto
2024 — conf
Neural Automated Essay Scoring for Improved Confidence Estimation and Score Prediction Through Integrated Classification and Regression.
AIED Companion (1)
Masaki Uto, Yuto Takahashi
2024 — conf
Predicting Factor Scores of Critical Thinking Ability From Features of Essay Texts.
ITHET
Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto
2024 — conf
Question Difficulty Prediction Based on Virtual Test-Takers and Item Response Theory.
EcalLAC@AIED
Masaki Uto, Yuto Tomikawa, Ayaka Suzuki
2023 — conf
Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory.
BEA@ACL
Masaki Uto, Yuto Tomikawa, Ayaka Suzuki
2023 C conf
Feasibility of Prediction of Student's Characteristics Using Texts of Essays Written During a Fully Online Course.
IV
Minoru Nakayama, Masaki Uto, Satoru Kikuchi, Hiroh Yamamoto
2023 J jnl
Integration of Prediction Scores From Various Automated Essay Scoring Models Using Item Response Theory.
IEEE Trans. Learn. Technol.
Masaki Uto, Itsuki Aomi, Emiko Tsutsumi, Maomi Ueno
2023 A conf
Neural Automated Essay Scoring Considering Logical Structure.
AIED
Misato Yamaura, Itsuki Fukuda, Masaki Uto
2023 B conf
Neural Automated Short-Answer Grading Considering Examinee-Specific Features.
ICALT
Masaki Uto
2022 J jnl
An Item Response Theory Approach to Enhance Peer Assessment Effectiveness in Massive Open Online Courses.
Int. J. Distance Educ. Technol.
Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto
2022 B conf
Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory.
COLING
Takumi Shibata, Masaki Uto
2022 — conf
Evaluation of Programming Skills via Peer Assessment and IRT Estimation Techniques.
ITHET
Minoru Nakayama, Filippo Sciarrone, Marco Temperini, Masaki Uto
2021 — conf
A Multidimensional Item Response Theory Model for Rubric-Based Writing Assessment.
AIED (1)
Masaki Uto
2021 — conf
Estimating Ability of Programming Skills using IRT based Peer Assessments.
ITHET
Minoru Nakayama, Masaki Uto, Marco Temperini, Filippo Sciarrone
2021 — conf
Integration of Automated Essay Scoring Models Using Item Response Theory.
AIED (2)
Itsuki Aomi, Emiko Tsutsumi, Masaki Uto, Maomi Ueno
2021 J jnl
Learning Automated Essay Scoring Models Using Item-Response-Theory-Based Scores to Decrease Effects of Rater Biases.
IEEE Trans. Learn. Technol.
Masaki Uto, Masashi Okano
2020 — conf
Automated Short-Answer Grading Using Deep Neural Networks and Item Response Theory.
AIED (2)
Masaki Uto, Yuto Uchida
2020 J jnl
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming.
IEEE Trans. Learn. Technol.
Masaki Uto, Nguyen Duc Thien, Maomi Ueno
2020 C conf
Impact of the number of peers on a mutual assessment as learner's performance in a simulated MOOC environment using the IRT model.
IV
Minoru Nakayama, Filippo Sciarrone, Masaki Uto, Marco Temperini
2020 B conf
Neural Automated Essay Scoring Incorporating Handcrafted Features.
COLING
Masaki Uto, Yikuan Xie, Maomi Ueno
2020 — conf
Robust Neural Automated Essay Scoring Using Item Response Theory.
AIED (1)
Masaki Uto, Masashi Okano
2020 J jnl
Time- and Learner-Dependent Hidden Markov Model for Writing Process Analysis Using Keystroke Log Data.
Int. J. Artif. Intell. Educ.
Masaki Uto, Yoshimitsu Miyazawa, Yoshihiro Kato, Koji Nakajima, Hajime Kuwata
2019 — conf
Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability.
AIED (1)
Masaki Uto
2018 — conf
Exact learning augmented naive Bayes classifier.
PGM
Shouta Sugahara, Masaki Uto, Maomi Ueno
2018 — conf
Item Response Theory Without Restriction of Equal Interval Scale for Rater's Score.
AIED (2)
Masaki Uto, Maomi Ueno
2017 — conf
Consistent Learning Bayesian Networks with Thousands of Variables.
AMBN
Kazuki Natori, Masaki Uto, Maomi Ueno
2017 A conf
Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory.
AIED
Masaki Uto, Nguyen Duc Thien, Maomi Ueno
2016 J jnl
Item Response Theory for Peer Assessment.
IEEE Trans. Learn. Technol.
Masaki Uto, Maomi Ueno
2015 B conf
Academic Writing Support System Using Bayesian Networks.
ICALT
Masaki Uto, Maomi Ueno
2015 — conf
Constraint-Based Learning Bayesian Networks Using Bayes Factor.
AMBN@JSAI-isAI
Kazuki Natori, Masaki Uto, Yu Nishiyama, Shuichi Kawano, Maomi Ueno
2015 A conf
Item Response Model with Lower Order Parameters for Peer Assessment.
AIED
Masaki Uto, Maomi Ueno
2015 C conf
Reliable Peer Assessment for Team-project-based Learning using Item Response Theory.
ICCE
Nguyen Duc Thien, Masaki Uto, Yu Abe, Maomi Ueno