Shiao Meng

According to our database, Shiao Meng authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GenCNER: A Generative Framework for Continual Named Entity Recognition.

Yawen Yang, Fukun Ma, Shiao Meng, Aiwei Liu, Li-jie Wen

Proceedings of the International Joint Conference on Neural Networks, 2025

GapDNER: A Gap-Aware Grid Tagging Model for Discontinuous Named Entity Recognition.

Yawen Yang, Fukun Ma, Shiao Meng, Aiwei Liu, Li-jie Wen

Proceedings of the International Joint Conference on Neural Networks, 2025

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, Irwin King, Philip S. Yu

IEEE Trans. Knowl. Data Eng., May, 2024

A Semantic Invariant Robust Watermark for Large Language Models.

Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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, Lijie Wen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.

Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.

Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction.

Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction.

Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2022