| All-in-one: Multi-task learning bert models for evaluating peer assessments Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer arXiv preprint arXiv:2110.03895, 2021 | 46 | 2021 |
| Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer International Educational Data Mining Society, 2022 | 25 | 2022 |
| Detecting problem statements in peer assessments Y Xiao, G Zingle, Q Jia, HR Shah, Y Zhang, T Li, M Karovaliya, W Zhao, ... arXiv preprint arXiv:2006.04532, 2020 | 15 | 2020 |
| KG-FLIP: Knowledge-guided Fashion-domain Language-Image Pre-training for E-commerce Q Jia, Y Liu, D Wu, S Xu, H Liu, J Fu, R Vollgraf, B Wang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 9 | 2023 |
| Automated feedback generation for student project reports: A data-driven approach Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer Journal of Educational Data Mining 14 (3), 132-161, 2022 | 7 | 2022 |
| Starting from “zero”: An incremental zero-shot learning approach for assessing peer feedback comments Q Jia, Y Cao, E Gehringer Proceedings of the 17th Workshop on Innovative Use of NLP for Building …, 2022 | 6 | 2022 |
| Can pre-class github contributions predict success by student teams? J Cui, R Li, K Lou, C Liu, Y Xiao, Q Jia, E Gehringer, R Zhang Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 6 | 2022 |
| Modeling review helpfulness with augmented transformer neural networks Y Xiao, T Wang, X Sun, Y Li, Y Song, J Cui, Q Jia, C Liu, EF Gehringer 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 83-90, 2022 | 6 | 2022 |
| Improving Problem Detection in Peer Assessment through Pseudo-Labeling Using Semi-Supervised Learning. C Liu, J Cui, R Shang, Y Xiao, Q Jia, E Gehringer International Educational Data Mining Society, 2022 | 5 | 2022 |
| All-in-one: Multi-task learning BERT models for evaluating peer assessments. arXiv Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer | 5 | 2021 |
| Problem Detection in Peer Assessments between Subjects by Effective Transfer Learning and Active Learning. Y Xiao, G Zingle, Q Jia, S Akbar, Y Song, M Dong, L Qi, E Gehringer International Educational Data Mining Society, 2020 | 5 | 2020 |
| Peer assessment rubric analyzer: An nlp approach to analyzing rubric items for better peer-review MP Rashid, EF Gehringer, M Young, D Doshi, Q Jia, Y Xiao 2021 19th International Conference on Information Technology Based Higher …, 2021 | 4 | 2021 |
| Utilizing the Constrained K-Means Algorithm and Pre-Class GitHub Contribution Statistics for Forming Student Teams J Cui, F Zhou, C Liu, Q Jia, Y Song, E Gehringer Proceedings of the 2024 on Innovation and Technology in Computer Science …, 2024 | 2 | 2024 |
| On Assessing the Faithfulness of LLM-generated Feedback on Student Assignments Q Jia, J Cui, R Xi, C Liu, P Rashid, R Li, E Gehringer Proceedings of the 17th International Conference on Educational Data Mining, 2024 | 1 | 2024 |
| Less But Enough: Evaluation of peer reviews through pseudo-labeling with less annotated data C Liu, D Doshi, R Shang, J Cui, Q Jia, E Gehringer Journal of Educational Data Mining 15 (2), 123-140, 2023 | 1 | 2023 |
| Harnessing large language models to auto-evaluate the student project reports H Du, Q Jia, E Gehringer, X Wang Computers and Education: Artificial Intelligence 7, 100268, 2024 | | 2024 |
| LLM-generated Feedback in Real Classes and Beyond: Perspectives from Students and Instructors Q Jia, J Cui, H Du, P Rashid, R Xi, R Li, E Gehringer | | 2024 |
| Generative AI for Peer Assessment Helpfulness Evaluation C Liu, J Cui, R Shang, Q Jia, P Rashid, E Gehringer Proceedings of the 17th International Conference on Educational Data Mining …, 2024 | | 2024 |
| Ensuring Ethical, Transparent, and Auditable Use of Education Data and Algorithms on AutoML K Griep, L Stone, S Edwards, M Hill, J Cui, C Liu, Q Jia, Y Song Proceedings of the 2023 6th International Conference on Machine Learning and …, 2023 | | 2023 |
| " Can we reach agreement?": A context-and semantic-based clustering approach with semi-supervised text-feature extraction for finding disagreement in peer-assessment formative … MP Rashid, D Doshi, SV Vinay, Q Jia, EF Gehringer Proceedings of the 16th International Conference on Educational Data Mining …, 2023 | | 2023 |
