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2020 – today
- 2025
- [j6]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025) - 2024
- [j5]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: 127229 (2024) - [j4]Xuming Hu
, Zhaochen Hong
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [c41]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: 18261-18269 - [c40]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: 10650-10671 - [c39]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: 13055-13077 - [c38]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: 16362-16374 - [c37]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. EMNLP (Findings) 2024: 865-883 - [c36]Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu:
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. EMNLP 2024: 6801-6816 - [c35]Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong:
Refiner: Restructure Retrieved Content Efficiently to Advance Question-Answering Capabilities. EMNLP (Findings) 2024: 8548-8572 - [c34]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications. EMNLP 2024: 11855-11881 - [c33]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 - [c32]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 - [c31]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen:
A Semantic Invariant Robust Watermark for Large Language Models. ICLR 2024 - [c30]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: 6748-6763 - [c29]Aiwei Liu
Preventing and Detecting Misinformation Generated by Large Language Models. SIGIR 2024: 3001-3004 - [i60]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 abs/2402.11100 (2024) - [i59]Yinghui Li, Shang Qin, Jingheng Ye
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR abs/2402.11420 (2024) - [i58]Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu:
Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models. CoRR abs/2402.16367 (2024) - [i57]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 abs/2402.16499 (2024) - [i56]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 abs/2403.04247 (2024) - [i55]Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR abs/2403.12077 (2024) - [i54]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 abs/2403.12686 (2024) - [i53]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 abs/2405.10051 (2024) - [i52]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 abs/2406.07444 (2024) - [i51]Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu:
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model. CoRR abs/2406.11193 (2024) - [i50]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 abs/2406.11213 (2024) - [i49]Zhonghao Li, Xuming Hu, Aiwei Liu, Kening Zheng, Sirui Huang, Hui Xiong:
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities. CoRR abs/2406.11357 (2024) - [i48]Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu:
LLaSA: Large Language and E-Commerce Shopping Assistant. CoRR abs/2408.02006 (2024) - [i47]Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Xuming Hu:
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models. CoRR abs/2408.09429 (2024) - [i46]Sirui Huang, Yanggan Gu, Xuming Hu, Zhonghao Li, Qing Li, Guandong Xu:
Reasoning Factual Knowledge in Structured Data with Large Language Models. CoRR abs/2408.12188 (2024) - [i45]Sisuo Lyu, Xiuze Zhou, Xuming Hu:
Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. CoRR abs/2409.09638 (2024) - [i44]Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. CoRR abs/2410.01611 (2024) - [i43]Zitian Gao, Boye Niu, Xuzheng He, Haotian Xu, Hongzhang Liu, Aiwei Liu, Xuming Hu, Lijie Wen:
Interpretable Contrastive Monte Carlo Tree Search Reasoning. CoRR abs/2410.01707 (2024) - [i42]Aiwei Liu, Sheng Guan, Yiming Liu, Leyi Pan, Yifei Zhang, Liancheng Fang, Lijie Wen, Philip S. Yu, Xuming Hu:
Can Watermarked LLMs be Identified by Users via Crafted Prompts? CoRR abs/2410.03168 (2024) - [i41]Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu:
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models. CoRR abs/2410.03577 (2024) - [i40]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. CoRR abs/2410.04199 (2024) - [i39]Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (2024) - [i38]Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu:
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality. CoRR abs/2410.04780 (2024) - [i37]Kaichen Huang, Jiahao Huo, Yibo Yan, Kun Wang, Yutao Yue, Xuming Hu:
MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models. CoRR abs/2410.04819 (2024) - [i36]Yiqian Yang, Yiqun Duan, Hyejeong Jo, Qiang Zhang, Renjing Xu, Oiwi Parker Jones, Xuming Hu, Chin-Teng Lin, Hui Xiong:
NeuGPT: Unified multi-modal Neural GPT. CoRR abs/2410.20916 (2024) - [i35]Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang:
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR abs/2410.21815 (2024) - 2023
- [j3]Shu'ang Li
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j2]Leixian Shen
Towards Natural Language Interfaces for Data Visualization: A Survey. IEEE Trans. Vis. Comput. Graph. 29(6): 3121-3144 (2023) - [c28]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c27]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c26]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: 322-337 - [c25]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: 688-700 - [c24]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: 1361-1374 - [c23]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: 3786-3800 - [c22]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: 9072-9087 - [c21]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: 10221-10234 - [c20]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: 5208-5226 - [c19]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. ICASSP 2023: 1-5 - [c18]Xuming Hu
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. ACM Multimedia 2023: 5185-5194 - [c17]Xuming Hu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR 2023: 2319-2323 - [c16]Xuming Hu
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR 2023: 2364-2368 - [c15]Xuming Hu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c14]Xuming Hu
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR 2023: 2901-2912 - [c13]Xuming Hu
Multimodal Named Entity Recognition and Relation Extraction with Retrieval-Augmented Strategy. SIGIR 2023: 3488 - [i34]Aiwei Liu, Xuming Hu, Lijie Wen
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR abs/2303.13547 (2023) - [i33]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i32]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i31]Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR abs/2305.07266 (2023) - [i30]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 abs/2305.12761 (2023) - [i29]Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu:
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR abs/2305.16128 (2023) - [i28]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i27]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 abs/2305.16663 (2023) - [i26]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 abs/2306.04480 (2023) - [i25]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i24]Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen
Do Large Language Models Know about Facts? CoRR abs/2310.05177 (2023) - [i23]Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen
A Semantic Invariant Robust Watermark for Large Language Models. CoRR abs/2310.06356 (2023) - [i22]Cunxiang Wang, Xiaoze Liu
Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR abs/2310.07521 (2023) - [i21]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 abs/2310.15743 (2023) - [i20]Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction. CoRR abs/2310.16822 (2023) - [i19]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 abs/2311.09214 (2023) - [i18]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - 2022
- [j1]Zan Zong
MespaConfig: Memory-Sparing Configuration Auto-Tuning for Co-Located In-Memory Cluster Computing Jobs. IEEE Trans. Serv. Comput. 15(5): 2883-2896 (2022) - [c12]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. COLING 2022: 2398-2404 - [c11]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu:
Scene Graph Modification as Incremental Structure Expanding. COLING 2022: 5707-5720 - [c10]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen:
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. EMNLP 2022: 7664-7676 - [c9]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: 7677-7690 - [c8]Shuang Li
Pair-Level Supervised Contrastive Learning for Natural Language Inference. ICASSP 2022: 8237-8241 - [c7]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD 2022: 1021-1030 - [c6]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: 3362-3376 - [c5]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen, Philip S. Yu:
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. NAACL-HLT 2022: 5970-5980 - [c4]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022: 1098-1109 - [i17]Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
Inferring Commonsense Explanations as Prompts for Future Event Generation. CoRR abs/2201.07099 (2022) - [i16]Shuang Li, Xuming Hu, Li Lin, Lijie Wen:
Pair-Level Supervised Contrastive Learning for Natural Language Inference. CoRR abs/2201.10927 (2022) - [i15]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 abs/2202.02529 (2022) - [i14]Shuliang Liu, Xuming Hu, Chenwei Zhang, Shu'ang Li, Lijie Wen
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction. CoRR abs/2205.02225 (2022) - [i13]Shu'ang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen
A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. CoRR abs/2205.15550 (2022) - [i12]Xuming Hu, Zhijiang Guo, Guanyu Wu, Aiwei Liu, Lijie Wen
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking. CoRR abs/2206.11863 (2022) - [i11]Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. CoRR abs/2208.03903 (2022) - [i10]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang
Domain-Specific NER via Retrieving Correlated Samples. CoRR abs/2208.12995 (2022) - [i9]Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen
Scene Graph Modification as Incremental Structure Expanding. CoRR abs/2209.09093 (2022) - [i8]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 abs/2210.10343 (2022) - [i7]Aiwei Liu, Honghai Yu, Xuming Hu, Shu'ang Li, Li Lin, Fukun Ma, Yawen Yang, Lijie Wen
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution. CoRR abs/2210.17004 (2022) - [i6]Zeqi Tan, Yongliang Shen, Xuming Hu, Wenqi Zhang
Query-based Instance Discrimination Network for Relational Triple Extraction. CoRR abs/2211.01797 (2022) - [i5]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - 2021
- [c3]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: 487-496 - [c2]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: 2737-2746 - [i4]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 abs/2109.03506 (2021) - [i3]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 abs/2109.06415 (2021) - 2020
- [c1]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. EMNLP (1) 2020: 3673-3682 - [i2]Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu:
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. CoRR abs/2004.02438 (2020) - [i1]Xuming Hu, Fukun Ma, Chenyao Liu, Chenwei Zhang, Lijie Wen, Philip S. Yu:
Semi-supervised Relation Extraction via Incremental Meta Self-Training. CoRR abs/2010.16410 (2020)
Coauthor Index
[j6] [j4] [c40] [c39] [c38] [c33] [c32] [c31] [i57] [i55] [i53] [i52] [i43] [i42] [j3] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c14] [i34] [i32] [i31] [i30] [i29] [i26] [i25] [i24] [i23] [i21] [i20] [i18] [j1] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i5] [c3] [c2] [i3] [c1] [i2] [i1]
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