| Prompt me up: Unleashing the power of alignments for multimodal entity and relation extraction X Hu, J Chen, A Liu, S Meng, L Wen, PS Yu ACM MM 2023, 2023 | 5 | 2023 |
| RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction S Meng, X Hu, A Liu, S Li, F Ma, Y Yang, L Wen EMNLP 2023, 2023 | 3 | 2023 |
| Selflre: Self-refining representation learning for low-resource relation extraction X Hu, J Chen, S Meng, L Wen, PS Yu SIGIR 2023, 2023 | 3 | 2023 |
| Reading Broadly to Open Your Mind Improving Open Relation Extraction With Search Documents Under Self-Supervisions X Hu, Z Hong, C Zhang, A Liu, S Meng, L Wen, I King, SY Philip IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations S Meng, X Hu, A Liu, F Ma, Y Yang, S Li, L Wen ACL 2024 (Findings), 2024 | | 2024 |
| A semantic invariant robust watermark for large language models A Liu, L Pan, X Hu, S Meng, L Wen ICLR 2024, 2023 | | 2023 |
| Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction X Hu, S Meng, C Zhang, X Yang, L Wen, I King, PS Yu arXiv preprint arXiv:2211.06014, 2022 | | 2022 |
Xuming HuAssistant Professor, HKUST(GZ) / HKUST在 hkust-gz.edu.cn 的电子邮件经过验证
