| 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 |
| Logic-of-thought: Injecting logic into contexts for full reasoning in large language models T Liu, W Xu, W Huang, X Wang, J Wang, H Yang, J Li arXiv preprint arXiv:2409.17539, 2024 | 3 | 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 |
| Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion T Liu, X Wang, W Huang, W Xu, Y Zeng, L Jiang, H Yang, J Li arXiv preprint arXiv:2409.14051, 2024 | 1 | 2024 |
| FoPru: Focal Pruning for Efficient Large Vision-Language Models L Jiang, W Huang, T Liu, Y Zeng, J Li, L Cheng, X Xu arXiv preprint arXiv:2411.14164, 2024 | | 2024 |
| Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach Q Li, J Li, T Liu, Y Zeng, M Cheng, W Huang, Q Liu arXiv preprint arXiv:2410.21779, 2024 | | 2024 |
| Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective W Huang, S Shen, Z Huang, Q Liu, J Lu, Y Su International Conference on Database Systems for Advanced Applications, 99-114, 2024 | | 2024 |
