| 2024 | AIED | Automatic Short Answer Grading in College Mathematics Using In-Context Meta-learning: An Evaluation of the Transferability of Findings. | Michael Smalenberger, Elham Sohrabi, Mengxue Zhang, Sami Baral, Kelly Smalenberger, Andrew S. Lan, Neil T. Heffernan |
| 2023 | ACL | Interpretable Math Word Problem Solution Generation via Step-by-step Planning. | Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan |
| 2023 | AIED | Algebra Error Classification with Large Language Models. | Hunter McNichols, Mengxue Zhang, Andrew S. Lan |
| 2023 | EDM | Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. | Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan |
| 2022 | EDM | Automatic Short Math Answer Grading via In-context Meta-learning. | Mengxue Zhang, Sami Baral, Neil T. Heffernan, Andrew S. Lan |
| 2021 | EDM | Math Operation Embeddings for Open-ended Solution Analysis and Feedback. | Mengxue Zhang, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan |
| 2020 | ECAI | Matching Questions and Answers in Dialogues from Online Forums. | Qi Jia, Mengxue Zhang, Shengyao Zhang, Kenny Q. Zhu |
| 2020 | ICML | Evaluating the Performance of Reinforcement Learning Algorithms. | Scott M. Jordan, Yash Chandak, Daniel Cohen, Mengxue Zhang, Philip S. Thomas |
| 2018 | WACV | Anomaly Explanation Using Metadata. | Di Qi, Joshua Arfin, Mengxue Zhang, Tushar Mathew, Robert Pless, Brendan Juba |
| 2017 | AAAI | An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction. | Mengxue Zhang, Tushar Mathew, Brendan A. Juba |