| Hiercdf: A bayesian network-based hierarchical cognitive diagnosis framework J Li, F Wang, Q Liu, M Zhu, W Huang, Z Huang, E Chen, Y Su, S Wang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 37 | 2022 |
| Beyond static datasets: A deep interaction approach to llm evaluation J Li, R Li, Q Liu arXiv preprint arXiv:2309.04369, 2023 | 10 | 2023 |
| 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 | 8 | 2024 |
| Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm J Li, Q Liu, F Wang, J Liu, Z Huang, F Yao, L Zhu, Y Su Proceedings of the ACM on Web Conference 2024, 3420-3431, 2024 | 8 | 2024 |
| Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling J Jiang, S Qu, M Cheng, Q Liu, Z Liu, H Zhang, R Zhang, K Zhang, R Li, ... International Conference on Database Systems for Advanced Applications, 353-362, 2024 | 4 | 2024 |
| Adard: An adaptive response denoising framework for robust learner modeling F Yao, Q Liu, L Yue, W Gao, J Li, X Li, Y He Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Survey of Computerized Adaptive Testing: A Machine Learning Perspective Q Liu, Y Zhuang, H Bi, Z Huang, W Huang, J Li, J Yu, Z Liu, Z Hu, Y Hong, ... arXiv preprint arXiv:2404.00712, 2024 | 2 | 2024 |
| PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations J Li, R Hu, K Huang, Y Zhuang, Q Liu, M Zhu, X Shi, W Lin arXiv preprint arXiv:2405.19740, 2024 | 1 | 2024 |
| Computerized Adaptive Testing via Collaborative Ranking Z Liu, Y Zhuang, Q Liu, J Li, Y Zhang, Z Huang, J Wu, S Wang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
Mengxiao ZhuUniversity of Science and Technology of ChinaCorreu electrònic verificat a ustc.edu.cn