Prompt-based effective input reformulation for legal case retrieval Y Tang, R Qiu, X Li Australasian Database Conference, 87-100, 2023 | 7 | 2023 |
Puma: Efficient continual graph learning with graph condensation Y Liu, R Qiu, Y Tang, H Yin, Z Huang arXiv preprint arXiv:2312.14439, 2023 | 6 | 2023 |
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs Y Tang, R Qiu, Y Liu, X Li, Z Huang European Conference on Information Retrieval, 80-95, 2024 | 4 | 2024 |
CaseLink: Inductive Graph Learning for Legal Case Retrieval Y Tang, R Qiu, H Yin, X Li, Z Huang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 1 | 2024 |
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph Augmentation Y Tang, R Qiu, Y Liu, X Li, Z Huang arXiv preprint arXiv:2405.11791, 2024 | | 2024 |