Heproto: A hierarchical enhancing protonet based on multi-task learning for few-shot named entity recognition W Chen, L Zhao, P Luo, T Xu, Y Zheng, E Chen Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 11 | 2023 |
Legal judgment prediction with multiple perspectives on civil cases L Zhao, L Yue, Y An, Y Liu, K Zhang, W He, Y Chen, S Yuan, Q Liu Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 6 | 2021 |
Comi: Correct and mitigate shortcut learning behavior in deep neural networks L Zhao, Q Liu, L Yue, W Chen, L Chen, R Sun, C Song Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 4 | 2024 |
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements L Zhao, L Yue, Y An, Y Zhang, J Yu, Q Liu, E Chen Proceedings of the 31st ACM international conference on information …, 2022 | 4 | 2022 |
Do llms overcome shortcut learning? an evaluation of shortcut challenges in large language models Y Yuan, L Zhao, K Zhang, G Zheng, Q Liu arXiv preprint arXiv:2410.13343, 2024 | 2 | 2024 |
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models L Yue, Q Liu, L Zhao, L Wang, W Gao, Y An Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition W Chen, L Zhao, Z Zheng, T Xu, Y Wang, E Chen Findings of the Association for Computational Linguistics: EMNLP 2024, 3172-3181, 2024 | 1 | 2024 |
Event Grounded Criminal Court View Generation withCooperative (Large) Language Models L Yue, Q Liu, L Zhao, L Wang, W Gao, Y An arXiv preprint arXiv:2404.07001, 2024 | | 2024 |
Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction X Jin, Q Liu, L Yue, Y Liu, L Zhao, W Gao, Z Gong, K Zhang, H Bi CAAI International Conference on Artificial Intelligence, 566-578, 2023 | | 2023 |
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study L Zhao, Y Wang, Q Liu, M Wang, W Chen, Z Sheng, S Wang The Thirteenth International Conference on Learning Representations, 0 | | |