Xuming Hu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 88

Top Topics

Sentiment Analysis

Reinforcement Learning

Relation Extraction

Top Venues

Publications

Xiaohe Li, Zide Fan, Feilong Huang, Xuming Hu, Yawen Deng, Lei Wang, Xinyu Zhao
Graph Neural Network with curriculum learning for imbalanced node classification. Neurocomputing 574 (2024)
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR (2024)
Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. NAACL-HLT (2024)
Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. CoRR (2024)
Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. CoRR (2024)
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. CoRR (2024)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
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
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar. CoRR (2024)
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) (2024)
Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang
UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities. CoRR (2024)
Aiwei Liu, Qiang Sheng, Xuming Hu
Preventing and Detecting Misinformation Generated by Large Language Models. SIGIR (2024)
Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR (2024)
Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities. CoRR (2024)
Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments. ACL (1) (2024)
Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
A Semantic Invariant Robust Watermark for Large Language Models. ICLR (2024)
Shiao Meng, Xuming Hu, Aiwei Liu, Fukun Ma, Yawen Yang, Shuang Li, Lijie Wen
On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations. ACL (Findings) (2024)
Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR (2024)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR (2024)
Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR (2024)
Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI (2024)
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
Towards Understanding Factual Knowledge of Large Language Models. ICLR (2024)
Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu
Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models. CoRR (2024)
Lingzhe Zhang, Tong Jia, Mengxi Jia, Yifan Wu, Aiwei Liu, Yong Yang, Zhonghai Wu, Xuming Hu, Philip S. Yu, Ying Li
A Survey of AIOps for Failure Management in the Era of Large Language Models. CoRR (2024)
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR (2023)
Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo
Do Large Language Models Know about Facts? CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) (2023)
Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR (2023)
Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR (2023)
Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
A Semantic Invariant Robust Watermark for Large Language Models. CoRR (2023)
Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) (2023)
Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR (2023)
Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
A Survey of Text Watermarking in the Era of Large Language Models. CoRR (2023)
Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia (2023)
Yawen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR (2023)
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
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR (2023)
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR (2023)
Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR (2023)
Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR (2023)
Weize Liu, Guocong Li, Kai Zhang, Bang Du, Qiyuan Chen, Xuming Hu, Hongxia Xu, Jintai Chen, Jian Wu
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models. CoRR (2023)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
A Private Watermark for Large Language Models. CoRR (2023)
Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. ACL (Findings) (2023)
Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR (2023)
Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. CoRR (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR (2023)
Xuming Hu
Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. SIGIR (2023)
Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI (2023)
Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. ACL (Findings) (2023)
Aiwei Liu, Wei Liu, Xuming Hu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing. CoRR (2023)
Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma, Yawen Yang, Lijie Wen
RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction. EMNLP (2023)
Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) (2023)
Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
Automatic Table Union Search with Tabular Representation Learning. ACL (Findings) (2023)
Yawen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP (2023)
Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang
Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR (2022)
Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
Query-based Instance Discrimination Network for Relational Triple Extraction. EMNLP (2022)
Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR (2022)
Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR (2022)
Shuang Li, Xuming Hu, Li Lin, Lijie Wen
Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR (2022)
Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
Domain-Specific NER via Retrieving Correlated Samples. CoRR (2022)
Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR (2022)
Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. NAACL-HLT (2022)
Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen, Philip S. Yu
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR (2022)
Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
Domain-Specific NER via Retrieving Correlated Samples. COLING (2022)
Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang, Xiaoxia Cheng, Weiming Lu, Yueting Zhuang
Query-based Instance Discrimination Network for Relational Triple Extraction. CoRR (2022)
Aiwei Liu, Honghai Yu, Xuming Hu, Shuang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR (2022)
Li Lin, Yixin Cao, Lifu Huang, Shuang Li, Xuming Hu, Lijie Wen, Jianmin Wang
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR (2022)
Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR (2022)
Aiwei Liu, Honghai Yu, Xuming Hu, Shuang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP (2022)
Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
Scene Graph Modification as Incremental Structure Expanding. CoRR (2022)
Shuang Li, Xuming Hu, Li Lin, Lijie Wen
Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP (2022)
Shuliang Liu, Xuming Hu, Chenwei Zhang, Shuang Li, Lijie Wen, Philip S. Yu
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT (2022)
Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD (2022)
Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
Scene Graph Modification as Incremental Structure Expanding. COLING (2022)
Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR (2022)
Zan Zong, Lijie Wen, Xuming Hu, Rui Han, Chen Qian, Li Lin
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15 (5) (2022)
Shuliang Liu, Xuming Hu, Chenwei Zhang, Shuang Li, Lijie Wen, Philip S. Yu
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR (2022)
Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. CoRR (2021)
Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction. EMNLP (1) (2021)
Leixian Shen, Enya Shen, Yuyu Luo, Xiaocong Yang, Xuming Hu, Xiongshuai Zhang, Zhiwei Tai, Jianmin Wang
Towards Natural Language Interfaces for Data Visualization: A Survey. CoRR (2021)
Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu
Semi-supervised Relation Extraction via Incremental Meta Self-Training. EMNLP (Findings) (2021)
Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) (2020)
Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu
Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR (2020)
Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR (2020)