| C-ICL: contrastive in-context learning for information extraction Y Mo, J Liu, J Yang, Q Wang, S Zhang, J Wang, Z Li arXiv preprint arXiv:2402.11254, 2024 | 15 | 2024 |
| A multi-domain named entity recognition method based on part-of-speech attention mechanism S Zhang, Y Sheng, J Gao, J Chen, J Huang, S Lin Computer Supported Cooperative Work and Social Computing: 14th CCF …, 2019 | 13 | 2019 |
| A continuous learning method for recognizing named entities by integrating domain contextual relevance measurement and Web farming mode of Web intelligence S Lin, J Gao, S Zhang, X He, Y Sheng, J Chen World Wide Web 23, 1769-1790, 2020 | 7 | 2020 |
| Infusing internalized knowledge of language models into hybrid prompts for knowledgeable dialogue generation J Bai, Z Yan, S Zhang, J Yang, H Guo, Z Li Knowledge-Based Systems 296, 111874, 2024 | 5 | 2024 |
| Recognizing biomedical named entities by integrating domain contextual relevance measurement and active learning J Gao, J Chen, S Zhang, X He, S Lin 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation …, 2019 | 5 | 2019 |
| Recognizing small-sample biomedical named entity based on contextual domain relevance S Zhang, S Lin, JF Gao, JH Chen 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation …, 2019 | 5 | 2019 |
| New Intent Discovery with Attracting and Dispersing Prototype S Zhang, J Yang, J Bai, C Yan, T Li, Z Yan, Z Li COLING 2024, 2024 | 4 | 2024 |
| Modeling intra-class and inter-class constraints for out-of-domain detection S Zhang, J Bai, T Li, Z Yan, Z Li International Conference on Database Systems for Advanced Applications, 142-158, 2023 | 4 | 2023 |
| Label-Guided Contrastive Learning for Out-of-Domain Detection S Zhang, T Li, J Bai, Z Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Sp-nlg: a semantic-parsing-guided natural language generation framework T Li, S Zhang, Z Li Electronics 12 (8), 1772, 2023 | 3 | 2023 |
| RoNID: New Intent Discovery with Generated-Reliable Labels and Cluster-friendly Representations S Zhang, C Yan, J Yang, C Ren, J Bai, T Li, Z Li DASFAA 2024, 2024 | 2 | 2024 |
| Towards Real-world Scenario: Imbalanced New Intent Discovery S Zhang, C Yan, J Yang, J Liu, Y Mo, J Bai, T Li, Z Li ACL 2024 Main, 2024 | 1 | 2024 |
| FuzzCoder: Byte-level Fuzzing Test via Large Language Model L Yang, J Yang, C Wei, G Niu, G Zhang, Y Wang, L ChaI, W Xia, H Guo, ... arXiv preprint arXiv:2409.01944, 2024 | | 2024 |
| TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery S Zhang, C Yan, J Yang, W Zhang, C Ren, T Li, J Bai, Z Li Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
Zhoujun LiBeihang Universitybuaa.edu.cn üzerinde doğrulanmış e-posta adresine sahip