Xu Han

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 101

Top Venues

Publications

Yufei Huang, Shengding Hu, Xu Han, Zhiyuan Liu, Maosong Sun
Unified View of Grokking, Double Descent and Emergent Abilities: A Perspective from Circuits Competition. CoRR (2024)
Chenyang Song, Xu Han, Zhengyan Zhang, Shengding Hu, Xiyu Shi, Kuai Li, Chen Chen, Zhiyuan Liu, Guangli Li, Tao Yang, Maosong Sun
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models. CoRR (2024)
Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun
∞Bench: Extending Long Context Evaluation Beyond 100K Tokens. CoRR (2024)
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. CoRR (2024)
Chaoqun He, Renjie Luo, Shengding Hu, Yuanqian Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han, Zhiyuan Liu, Maosong Sun
UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. CoRR (2024)
Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, Zhiyuan Liu, Xiaodong Shi, Maosong Sun
MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. ACL (Findings) (2024)
Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. ACL (1) (2024)
Jinyi Hu, Yuan Yao, Chongyi Wang, Shan Wang, Yinxu Pan, Qianyu Chen, Tianyu Yu, Hanghao Wu, Yue Zhao, Haoye Zhang, Xu Han, Yankai Lin, Jiao Xue, Dahai Li, Zhiyuan Liu, Maosong Sun
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages. ICLR (2024)
Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies. CoRR (2024)
Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems. ACL (1) (2024)
Yingfa Chen, Zhengyan Zhang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Chen Chen, Kuai Li, Tao Yang, Maosong Sun
Robust and Scalable Model Editing for Large Language Models. CoRR (2024)
Weize Chen, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun
Hyperbolic Pre-Trained Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models. CoRR (2024)
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. CoRR (2024)
Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset. ACL (1) (2024)
Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks. ACL (1) (2024)
Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Predicting Emergent Abilities with Infinite Resolution Evaluation. ICLR (2024)
Yufei Huang, Xu Han, Maosong Sun
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection. ACL (1) (2024)
Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
Emergent Modularity in Pre-trained Transformers. ACL (Findings) (2023)
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun
Tool Learning with Foundation Models. CoRR (2023)
Chenyang Song, Xu Han, Zheni Zeng, Kuai Li, Chen Chen, Zhiyuan Liu, Maosong Sun, Tao Yang
ConPET: Continual Parameter-Efficient Tuning for Large Language Models. CoRR (2023)
Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR (2023)
Kunlun Zhu, Shihao Liang, Xu Han, Zhi Zheng, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation. CoRR (2023)
Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR (2023)
Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Recyclable Tuning for Continual Pre-training. CoRR (2023)
Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Unlock Predictable Scaling from Emergent Abilities. CoRR (2023)
Zhengyan Zhang, Baitao Gong, Yingfa Chen, Xu Han, Guoyang Zeng, Weilin Zhao, Yanxu Chen, Zhiyuan Liu, Maosong Sun
BMCook: A Task-agnostic Compression Toolkit for Big Models. EMNLP (Demos) (2022)
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP (2022)
Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou
Exploring Mode Connectivity for Pre-trained Language Models. EMNLP (2022)
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3 (2022)
Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun
BMInf: An Efficient Toolkit for Big Model Inference and Tuning. ACL (demo) (2022)
Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim
Prompt-learning for Fine-grained Entity Typing. EMNLP (Findings) (2022)
Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning. EMNLP (Findings) (2022)
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Knowledge Inheritance for Pre-trained Language Models. NAACL-HLT (2022)
Xu Han, Zhengyan Zhang, Zhiyuan Liu
Knowledgeable machine learning for natural language processing. Commun. ACM 64 (11) (2021)
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2 (2021)
YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. CoRR (2021)
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
CLEVE: Contrastive Pre-training for Event Extraction. CoRR (2021)
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Fully Hyperbolic Neural Networks. CoRR (2021)
Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun
Visual Distant Supervision for Scene Graph Generation. CoRR (2021)
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun
PTR: Prompt Tuning with Rules for Text Classification. CoRR (2021)
Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. AI Open 2 (2021)
Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) (2021)
Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR (2021)
Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Open Hierarchical Relation Extraction. NAACL-HLT (2021)
YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Adversarial Language Games for Advanced Natural Language Intelligence. AAAI (2021)
Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu
Few-NERD: A Few-Shot Named Entity Recognition Dataset. CoRR (2021)
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
CLEVE: Contrastive Pre-training for Event Extraction. ACL/IJCNLP (1) (2021)
Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun
CPM-2: Large-scale cost-effective pre-trained language models. AI Open 2 (2021)
Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang
PPT: Pre-trained Prompt Tuning for Few-shot Learning. CoRR (2021)
Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Knowledge Inheritance for Pre-trained Language Models. CoRR (2021)
Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun
Visual Distant Supervision for Scene Graph Generation. ICCV (2021)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR (2020)
Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. CoRR (2020)
Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL (2020)
Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
Denoising Relation Extraction from Document-level Distant Supervision. CoRR (2020)
Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou
Neural Gibbs Sampling for Joint Event Argument Extraction. AACL/IJCNLP (2020)
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP (2020)
Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING (2020)
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
MAVEN: A Massive General Domain Event Detection Dataset. CoRR (2020)
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Neural Snowball for Few-Shot Relation Learning. AAAI (2020)
Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) (2020)
Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyuan Liu, Maosong Sun
IsOBS: An Information System for Oracle Bone Script. EMNLP (Demos) (2020)
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR (2020)
Xin Lv, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Wei Zhang, Yichi Zhang, Hao Kong, Suhui Wu
Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph. EMNLP (1) (2020)
Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
Denoising Relation Extraction from Document-level Distant Supervision. EMNLP (1) (2020)
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
MAVEN: A Massive General Domain Event Detection Dataset. EMNLP (1) (2020)
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR (2020)
YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. CoRR (2020)
Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. EMNLP/IJCNLP (1) (2019)
Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Neural Snowball for Few-Shot Relation Learning. CoRR (2019)
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. CoRR (2019)
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. CoRR (2019)
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR (2019)
Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Adversarial Language Games for Advanced Natural Language Intelligence. CoRR (2019)
Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI (2019)
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu
ERNIE: Enhanced Language Representation with Informative Entities. CoRR (2019)
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun
Quantifying Similarity between Relations with Fact Distribution. CoRR (2019)
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li
Adversarial Training for Weakly Supervised Event Detection. NAACL-HLT (1) (2019)
Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun
Quantifying Similarity between Relations with Fact Distribution. ACL (1) (2019)
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. CoRR (2019)
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) (2019)
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren
HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP/IJCNLP (1) (2019)
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR (2019)
Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations. EMNLP/IJCNLP (1) (2019)
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL (1) (2019)
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) (2019)
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu
ERNIE: Enhanced Language Representation with Informative Entities. ACL (1) (2019)
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. ACL (1) (2019)
Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. EMNLP/IJCNLP (3) (2019)
Xu Han, Zhiyuan Liu, Maosong Sun
Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text. AAAI (2018)
Xu Han, Zhiyuan Liu, Maosong Sun
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training. CoRR (2018)
Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li
OpenKE: An Open Toolkit for Knowledge Embedding. EMNLP (Demonstration) (2018)
Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun
Knowledge Representation Learning: A Quantitative Review. CoRR (2018)
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun
FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. EMNLP (2018)
Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation. CoRR (2018)
Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP (2018)
Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun
Put It Back: Entity Typing with Language Model Enhancement. EMNLP (2018)
Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun
Adversarial Multi-lingual Neural Relation Extraction. COLING (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xu Han