| Efficiently measuring the cognitive ability of llms: An adaptive testing perspective Y Zhuang, Q Liu, Y Ning, W Huang, R Lv, Z Huang, G Zhao, Z Zhang, ... arXiv preprint arXiv:2306.10512, 2023 | 42 | 2023 |
| A bounded ability estimation for computerized adaptive testing Y Zhuang, Q Liu, GH Zhao, Z Huang, W Huang, Z Pardos, E Chen, J Wu, ... Advances in Neural Information Processing Systems 36, 2024 | 19 | 2024 |
| A survey of models for cognitive diagnosis: New developments and future directions F Wang, W Gao, Q Liu, J Li, G Zhao, Z Zhang, Z Huang, M Zhu, S Wang, ... arXiv preprint arXiv:2407.05458, 2024 | 7 | 2024 |
| Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems G Zhao, Z Huang, Y Zhuang, J Liu, Q Liu, Z Liu, J Wu, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment G Zhao, Z Huang, Y Zhuang, H Bi, Y Wang, F Wang, Z Ma, Y Zhao IEEE Transactions on Learning Technologies, 2024 | | 2024 |
| Towards Explainable Computerized Adaptive Testing with Large Language Model C Cheng, GH Zhao, Z Huang, Y Zhuang, Z Pan, Q Liu, X Li, E Chen Findings of the Association for Computational Linguistics: EMNLP 2024, 2655-2672, 2024 | | 2024 |
