Xuming Hu

According to our database, Xuming Hu authored at least 53 papers between 2020 and 2024.

Collaborative distances:

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

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

Graph Neural Network with curriculum learning for imbalanced node classification.

Xiaohe Li, Zide Fan, Feilong Huang, Xuming Hu, Yawen Deng, Lei Wang, Xinyu Zhao

Neurocomputing, March, 2024

WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar.

Runwei Guan, Liye Jia, Fengyufan Yang, Shanliang Yao, Erick Purwanto, Xiaohui Zhu, Eng Gee Lim, Jeremy S. Smith, Ka Lok Man, Xuming Hu, Yutao Yue

CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2024

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities.

Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang

CoRR, 2024

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.

Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen

CoRR, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models.

Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu

CoRR, 2024

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.

Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu

CoRR, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.

Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu

CoRR, 2024

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.

Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Natural Language Interfaces for Data Visualization: A Survey.

Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang

IEEE Trans. Vis. Comput. Graph., June, 2023

A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference.

Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

A Survey of Text Watermarking in the Era of Large Language Models.

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2023

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.

Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu

CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Jiayang Cheng, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang

CoRR, 2023

A Semantic Invariant Robust Watermark for Large Language Models.

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

CoRR, 2023

Do Large Language Models Know about Facts?

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2023

A Private Watermark for Large Language Models.

Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu

CoRR, 2023

Give Me More Details: Improving Fact-Checking with Latent Retrieval.

Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu

CoRR, 2023

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability.

Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu

CoRR, 2023

Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction.

Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu

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

Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence.

Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu

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

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.

Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu

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

Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy.

Xuming Hu

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

Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition.

Yawen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu

Proceedings of the IEEE International Conference on Acoustics, 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

AMR-based Network for Aspect-based Sentiment Analysis.

Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.

Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Automatic Table Union Search with Tabular Representation Learning.

Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.

Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.

Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Graph Component Contrastive Learning for Concept Relatedness Estimation.

Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs.

Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin

IEEE Trans. Serv. Comput., 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

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

CoRR, 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.

Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan

CoRR, 2022

Inferring Commonsense Explanations as Prompts for Future Event Generation.

Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang

CoRR, 2022

What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation.

Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.

Shuliang Liu, Xuming Hu, Chenwei Zhang, Shuang Li, Lijie Wen, Philip S. Yu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking.

Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph.

Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pair-Level Supervised Contrastive Learning for Natural Language Inference.

Shuang Li, Xuming Hu, Li Lin, Lijie Wen

Proceedings of the IEEE International Conference on Acoustics, 2022

Query-based Instance Discrimination Network for Relational Triple Extraction.

Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution.

Aiwei Liu, Honghai Yu, Xuming Hu, Shuang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain-Specific NER via Retrieving Correlated Samples.

Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Scene Graph Modification as Incremental Structure Expanding.

Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction.

Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Semi-supervised Relation Extraction via Incremental Meta Self-Training.

Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.

Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020