Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. - Xuming Hu; Shiao Meng; Chenwei Zhang; Xiangli Yang; Lijie Wen 001; Irwin King; Philip S. Yu (CoRR, 2022)

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. - Shiao Meng; Xuming Hu; Aiwei Liu; Shuang Li 015; Fukun Ma; Yawen Yang; Lijie Wen 001 (EMNLP, 2023)

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. - Xuming Hu; Junzhe Chen 001; Aiwei Liu; Shiao Meng; Lijie Wen 001; Philip S. Yu (ACM Multimedia, 2023)

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. - Xuming Hu; Junzhe Chen 001; Shiao Meng; Lijie Wen 001; Philip S. Yu (SIGIR, 2023)

On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. - Shiao Meng; Xuming Hu; Aiwei Liu; Fukun Ma; Yawen Yang; Shuang Li 015; Lijie Wen 001 (ACL (Findings), 2024)

A Semantic Invariant Robust Watermark for Large Language Models. - Aiwei Liu; Leyi Pan; Xuming Hu; Shiao Meng; Lijie Wen 001 (ICLR, 2024)

Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. - Xuming Hu; Zhaochen Hong; Chenwei Zhang; Aiwei Liu; Shiao Meng; Lijie Wen 001; Irwin King; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)