| KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction X Chen, N Zhang, X Xie, S Deng, Y Yao, C Tan, F Huang, L Si, H Chen WWW 2022 (Paper Digest Most Influential Paper), 2022 | 489* | 2022 |
| Reasoning with Language Model Prompting: A Survey S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng, C Tan, F Huang, H Chen ACL 2023 (Paper Digest Most Influential Paper), 2023 | 287 | 2023 |
| Editing Large Language Models: Problems, Methods, and Opportunities Y Yao, P Wang, B Tian, S Cheng, Z Li, S Deng, H Chen, N Zhang EMNLP 2023 (Paper Digest Most Influential Paper), 2023 | 285 | 2023 |
| Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks N Zhang, S Deng, Z Sun, G Wang, X Chen, W Zhang, H Chen NAACL 2019 (Oral), 2019 | 248 | 2019 |
| PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction H Zheng, R Wen, X Chen, Y Yang, Y Zhang, Z Zhang, N Zhang, B Qin, ... ACL 2021, 2021 | 241 | 2021 |
| Document-level Relation Extraction as Semantic Segmentation N Zhang, X Chen, X Xie, S Deng, C Tan, M Chen, F Huang, L Si, H Chen IJCAI 2021 (Paper Digest Most Influential Paper), 2021 | 213 | 2021 |
| Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners N Zhang, L Li, X Chen, S Deng, Z Bi, C Tan, F Huang, H Chen ICLR 2022, 2022 | 211 | 2022 |
| CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark N Zhang, M Chen, Z Bi, X Liang, L Li, X Shang, K Yin, C Tan, J Xu, ... ACL 2022, 2022 | 210 | 2022 |
| Knowledge-driven stock trend prediction and explanation via temporal convolutional network S Deng, N Zhang, W Zhang, J Chen, JZ Pan, H Chen WWW 2019, 678-685, 2019 | 209 | 2019 |
| LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities Y Zhu, X Wang, J Chen, S Qiao, Y Ou, Y Yao, S Deng, H Chen, N Zhang World Wide Web Journal, 2023 | 197* | 2023 |
| Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion X Chen, N Zhang, L Li, S Deng, C Tan, C Xu, F Huang, L Si, H Chen SIGIR 2022 (Paper Digest Most Influential Paper), 2022 | 170 | 2022 |
| Contrastive Triple Extraction with Generative Transformer H Ye, N Zhang, S Deng, M Chen, C Tan, F Huang, H Chen AAAI 2021 35 (16), 14257-14265, 2021 | 152 | 2021 |
| Meta-learning with dynamic-memory-based prototypical network for few-shot event detection S Deng, N Zhang, J Kang, Y Zhang, W Zhang, H Chen WSDM 2020, 151-159, 2020 | 150 | 2020 |
| Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction N Zhang, S Deng, Z Sun, X Chen, W Zhang, H Chen EMNLP 2018, 2018 | 142 | 2018 |
| A Comprehensive Study of Knowledge Editing for Large Language Models N Zhang, Y Yao, B Tian, P Wang, S Deng, M Wang, Z Xi, S Mao, J Zhang, ... arXiv preprint arXiv:2401.01286, 2024 | 135* | 2024 |
| Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction X Chen, N Zhang, L Li, Y Yao, S Deng, C Tan, F Huang, L Si, H Chen NAACL 2022 Findings, 2022 | 127 | 2022 |
| Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View J Zhang, X Xu, N Zhang, R Liu, B Hooi, S Deng ACL 2024, 61 pages (8 main), 67 figures, 37 tables, 2024 | 126 | 2024 |
| LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting X Chen, L Li, X Xie, S Deng, C Tan, C Xu, F Huang, L Si, H Chen, ... COLING 2022, 2021 | 125* | 2021 |
| Knowledge graph-enhanced molecular contrastive learning with functional prompt Y Fang, Q Zhang, N Zhang, Z Chen, X Zhuang, X Shao, X Fan, H Chen Nature Machine Intelligence 5 (5), 542-553, 2023 | 122 | 2023 |
| Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models Y Fang, X Liang, N Zhang, K Liu, R Huang, Z Chen, X Fan, H Chen ICLR 2024, 2023 | 116 | 2023 |
Chen Huajun, Professor, PhDCollege of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
