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ORCIDXu Han 0007
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technology, China
Other persons with the same name
- Xu Han — disambiguation page
- Xu Han 0001 — University of Connecticut, School of Electrical and Computer Engineering, Storrs, CT, USA
- Xu Han 0002 — University of California, Irvine, Center for Embedded Computer Systems, CA, USA
- Xu Han 0003
![[0000-0003-3707-660X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3707-660X")
— Beijing University of Posts and Telecommunications, School of Software Engineering, Key Laboratory of Trustworthy Distributed Computing and Service, China - Xu Han 0004 — Southwestern University of Finance and Economics, School of Economic Mathematics / School of Finance, Chengdu, China
- Xu Han 0005 — Jilin University, College of Computer Science and Technology, Changchun, China
- Xu Han 0006 — University of Colorado Boulder, CO, USA
- Xu Han 0008 — Nanyang Technological University, School of Computer Engineering, Singapore
- Xu Han 0009 — University of North Carolina at Chapel Hill, UNC, Department of Computer Science, USA
- Xu Han 0010 — Northwestern Polytechnical University, Department of Electrical Engineering, Xi'an, China
- Xu Han 0011 — Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Tianjin, China (and 1 more)
- Xu Han 0012 — Tufts University, Department of Computer Science, Medford, MA, USA
- Xu Han 0013 — Beihang University, School of Transportation Science and Engineering, Beijing, China
- Xu Han 0014 — University of California, Los Angeles, UCLA, Department of Civil and Environmental Engineering, CA, USA
- Xu Han 0015 — Hubei University of Technology, School of Industrial Design, Wuhan, China
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2020 – today
- 2024
[j9]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: 3101-3112 (2024)- [c66]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: 3828-3850 - [c65]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: 4072-4091 - [c64]Yufei Huang, Xu Han, Maosong Sun:
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection. ACL (1) 2024: 6262-6276 - [c63]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: 11789-11804 - [c62]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: 11929-11942 - [c61]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: 12871-12882 - [c60]Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun:
ınftyBench: Extending Long Context Evaluation Beyond 100K Tokens. ACL (1) 2024: 15262-15277 - [c59]Chaojun Xiao, Yutao Sun, Yuan Yao, Xu Han, Wenbin Zhang, Zhiyuan Liu, Maosong Sun:
Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training. LREC/COLING 2024: 7324-7335 - [c58]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. LREC/COLING 2024: 14157-14172 - [c57]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 - [c56]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 - [c55]Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou:
Exploring the Benefit of Activation Sparsity in Pre-training. ICML 2024 - [i78]Zhengyan Zhang, Yixin Song, Guanghui Yu, Xu Han, Yankai Lin, Chaojun Xiao, Chenyang Song, Zhiyuan Liu, Zeyu Mi, Maosong Sun:
ReLU2 Wins: Discovering Efficient Activation Functions for Sparse LLMs. CoRR abs/2402.03804 (2024) - [i77]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. CoRR abs/2402.04588 (2024) - [i76]Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Song Han, Maosong Sun:
InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory. CoRR abs/2402.04617 (2024) - [i75]Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che:
OneBit: Towards Extremely Low-bit Large Language Models. CoRR abs/2402.11295 (2024) - [i74]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. CoRR abs/2402.11453 (2024) - [i73]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. CoRR abs/2402.11455 (2024) - [i72]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 abs/2402.13516 (2024) - [i71]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 abs/2402.13718 (2024) - [i70]Weilin Zhao, Yuxiang Huang, Xu Han, Chaojun Xiao, Zhiyuan Liu, Maosong Sun:
Ouroboros: Speculative Decoding with Large Model Enhanced Drafting. CoRR abs/2402.13720 (2024) - [i69]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. CoRR abs/2402.14008 (2024) - [i68]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 abs/2402.15175 (2024) - [i67]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 abs/2403.09347 (2024) - [i66]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 abs/2403.17431 (2024) - [i65]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 abs/2404.06395 (2024) - [i64]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 abs/2404.07584 (2024) - [i63]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 abs/2406.03488 (2024) - [i62]Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun:
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. CoRR abs/2406.08903 (2024) - [i61]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 abs/2406.15718 (2024) - [i60]Kunlun Zhu, Yifan Luo, Dingling Xu, Ruobing Wang, Shi Yu, Shuo Wang, Yukun Yan, Zhenghao Liu, Xu Han, Zhiyuan Liu, Maosong Sun:
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework. CoRR abs/2408.01262 (2024) - [i59]Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, Qianyu Chen, Huarong Zhou, Zhensheng Zou, Haoye Zhang, Shengding Hu, Zhi Zheng, Jie Zhou, Jie Cai, Xu Han, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun:
MiniCPM-V: A GPT-4V Level MLLM on Your Phone. CoRR abs/2408.01800 (2024) - [i58]Yufei Huang, Xu Han, Maosong Sun:
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection. CoRR abs/2408.06333 (2024) - [i57]Yingfa Chen, Chenlong Hu, Cong Feng, Chenyang Song, Shi Yu, Xu Han, Zhiyuan Liu, Maosong Sun:
Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slip Scripts. CoRR abs/2409.01011 (2024) - [i56]Chaojun Xiao, Zhengyan Zhang, Chenyang Song, Dazhi Jiang, Feng Yao, Xu Han, Xiaozhi Wang, Shuo Wang, Yufei Huang, Guanyu Lin, Yingfa Chen, Weilin Zhao, Yuge Tu, Zexuan Zhong, Ao Zhang, Chenglei Si, Moo Khai Hao, Chenyang Zhao, Huimin Chen, Yankai Lin, Zhiyuan Liu, Jingbo Shang, Maosong Sun:
Configurable Foundation Models: Building LLMs from a Modular Perspective. CoRR abs/2409.02877 (2024) - [i55]Jifan Yu, Zheyuan Zhang, Daniel Zhang-li, Shangqing Tu, Zhanxin Hao, Rui Miao Li, Haoxuan Li, Yuanchun Wang, Hanming Li, Linlu Gong, Jie Cao, Jiayin Lin, Jinchang Zhou, Fei Qin, Haohua Wang, Jianxiao Jiang, Lijun Deng, Yisi Zhan, Chaojun Xiao, Xusheng Dai, Xuan Yan, Nianyi Lin, Nan Zhang, Ruixin Ni, Yang Dang, Lei Hou, Yu Zhang, Xu Han, Manli Li, Juanzi Li, Zhiyuan Liu, Huiqin Liu, Maosong Sun:
From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agents. CoRR abs/2409.03512 (2024) - [i54]Wang Xu, Shuo Wang, Weilin Zhao, Xu Han, Yukun Yan, Yudi Zhang, Zhe Tao, Zhiyuan Liu, Wanxiang Che:
Enabling Real-Time Conversations with Minimal Training Costs. CoRR abs/2409.11727 (2024) - [i53]Yuxiang Huang, Binhang Yuan, Xu Han, Chaojun Xiao, Zhiyuan Liu:
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads. CoRR abs/2410.01805 (2024) - 2023
- [j8]Kai Huang, Ming Chen, Zihan Zhou, Xu Han, Jian Wang, Zhiyuan Liu:
A Systematic Approach for the Calibration of Route Choice Models Based on Stochastic User Equilibrium. IEEE Intell. Transp. Syst. Mag. 15(4): 55-71 (2023) - [c54]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: 4066-4083 - [c53]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) 2023: 8968-8988 - [c52]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. ACL (Findings) 2023: 10400-10420 - [c51]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. ACL (1) 2023: 10641-10658 - [c50]Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Recyclable Tuning for Continual Pre-training. ACL (Findings) 2023: 11403-11426 - [c49]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. ACL (1) 2023: 15713-15729 - [c48]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. EMNLP (Findings) 2023: 9947-9959 - [c47]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. EMNLP (Findings) 2023: 11052-11067 - [c46]Yuzhong Wang, Xu Han, Weilin Zhao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training. NeurIPS 2023 - [i52]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 abs/2304.08354 (2023) - [i51]Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou:
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR abs/2305.06849 (2023) - [i50]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 abs/2305.08702 (2023) - [i49]Jinyi Hu, Xu Han, Xiaoyuan Yi, Yutong Chen, Wenhao Li, Zhiyuan Liu, Maosong Sun:
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots. CoRR abs/2305.11540 (2023) - [i48]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. CoRR abs/2305.17660 (2023) - [i47]Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. CoRR abs/2305.17670 (2023) - [i46]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 abs/2305.17691 (2023) - [i45]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. CoRR abs/2305.18390 (2023) - [i44]Weilin Zhao, Yuxiang Huang, Xu Han, Zhiyuan Liu, Zhengyan Zhang, Maosong Sun:
CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models. CoRR abs/2307.07705 (2023) - [i43]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. CoRR abs/2308.12038 (2023) - [i42]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 abs/2309.10326 (2023) - [i41]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 abs/2309.14763 (2023) - [i40]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 abs/2310.03262 (2023) - [i39]Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR abs/2310.12818 (2023) - [i38]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 abs/2310.15724 (2023) - [i37]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. CoRR abs/2311.09105 (2023) - 2022
- [j7]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. AI Open 3: 182-192 (2022) - [c45]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: 224-230 - [c44]Xu Han, Yuqi Luo, Weize Chen, Zhiyuan Liu, Maosong Sun, Botong Zhou, Fei Hao, Suncong Zheng:
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages. ACL (1) 2022: 2241-2250 - [c43]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. ACL (1) 2022: 5672-5686 - [c42]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. ACL (1) 2022: 8410-8423 - [c41]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: 396-405 - [c40]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: 926-941 - [c39]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: 3348-3366 - [c38]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: 6726-6746 - [c37]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: 6888-6901 - [c36]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152 - [c35]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: 3921-3937 - [i36]Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022) - [i35]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 Delta Tuning. CoRR abs/2210.13311 (2022) - [i34]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. CoRR abs/2210.14102 (2022) - [i33]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. CoRR abs/2211.07342 (2022) - 2021
- [j6]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: 93-99 (2021) - [j5]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: 127-134 (2021) - [j4]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: 216-224 (2021) - [j3]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j2]Xu Han, Zhengyan Zhang, Zhiyuan Liu:
Knowledgeable machine learning for natural language processing. Commun. ACM 64(11): 50-51 (2021) - [j1]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: 2930-2941 (2021) - [c34]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: 14248-14256 - [c33]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: 1306-1318 - [c32]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-shot Named Entity Recognition Dataset. ACL/IJCNLP (1) 2021: 3198-3213 - [c31]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: 6283-6297 - [c30]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: 15796-15806 - [c29]Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Open Hierarchical Relation Extraction. NAACL-HLT 2021: 5682-5693 - [i32]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 abs/2102.03752 (2021) - [i31]Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun:
Visual Distant Supervision for Scene Graph Generation. CoRR abs/2103.15365 (2021) - [i30]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-Shot Named Entity Recognition Dataset. CoRR abs/2105.07464 (2021) - [i29]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 abs/2105.09543 (2021) - [i28]Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, Maosong Sun:
PTR: Prompt Tuning with Rules for Text Classification. CoRR abs/2105.11259 (2021) - [i27]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 abs/2105.13880 (2021) - [i26]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 abs/2105.14485 (2021) - [i25]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. CoRR abs/2105.14686 (2021) - [i24]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i23]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. CoRR abs/2106.10715 (2021) - [i22]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-Learning for Fine-Grained Entity Typing. CoRR abs/2108.10604 (2021) - [i21]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. CoRR abs/2109.04332 (2021) - 2020
- [c28]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. AAAI 2020: 7772-7779 - [c27]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: 6429-6440 - [c26]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: 1594-1605 - [c25]Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyuan Liu, Maosong Sun:
IsOBS: An Information System for Oracle Bone Script. EMNLP (Demos) 2020: 227-233 - [c24]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: 1652-1671 - [c23]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: 3661-3672 - [c22]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: 3683-3688 - [c21]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: 5694-5703 - [c20]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: 169-180 - [c19]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: 745-758 - [i20]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 abs/2004.03186 (2020) - [i19]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 abs/2004.13590 (2020) - [i18]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 abs/2009.13964 (2020) - [i17]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 abs/2010.01899 (2020) - [i16]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 abs/2010.01923 (2020) - [i15]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 abs/2011.03888 (2020) - [i14]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 abs/2012.00413 (2020)
2010 – 2019
- 2019
- [c18]Tianyu Gao, Xu Han, Zhiyuan Liu, Maosong Sun:
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification. AAAI 2019: 6407-6414 - [c17]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: 764-777 - [c16]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: 892-901 - [c15]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: 1419-1429 - [c14]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. ACL (1) 2019: 1441-1451 - [c13]Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Quantifying Similarity between Relations with Fact Distribution. ACL (1) 2019: 2882-2894 - [c12]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: 169-174 - [c11]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: 219-228 - [c10]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: 3374-3379 - [c9]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: 5776-5782 - [c8]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: 6249-6254 - [c7]Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li:
Adversarial Training for Weakly Supervised Event Detection. NAACL-HLT (1) 2019: 998-1008 - [i13]Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, Qun Liu:
ERNIE: Enhanced Language Representation with Informative Entities. CoRR abs/1905.07129 (2019) - [i12]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 abs/1906.06127 (2019) - [i11]Weize Chen, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Quantifying Similarity between Relations with Fact Distribution. CoRR abs/1907.08937 (2019) - [i10]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 abs/1908.01843 (2019) - [i9]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. CoRR abs/1908.11007 (2019) - [i8]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 abs/1908.11513 (2019) - [i7]Xu Han, Tianyu Gao, Yuan Yao, Deming Ye, Zhiyuan Liu, Maosong Sun:
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction. CoRR abs/1909.13078 (2019) - [i6]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 abs/1910.07124 (2019) - [i5]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 abs/1911.01622 (2019) - 2018
- [c6]Xu Han, Zhiyuan Liu, Maosong Sun:
Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text. AAAI 2018: 4832-4839 - [c5]Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Adversarial Multi-lingual Neural Relation Extraction. COLING 2018: 1156-1166 - [c4]Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li:
OpenKE: An Open Toolkit for Knowledge Embedding. EMNLP (Demonstration) 2018: 139-144 - [c3]Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Put It Back: Entity Typing with Language Model Enhancement. EMNLP 2018: 993-998 - [c2]Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li:
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP 2018: 2236-2245 - [c1]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: 4803-4809 - [i4]Xu Han, Zhiyuan Liu, Maosong Sun:
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training. CoRR abs/1805.10959 (2018) - [i3]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 abs/1810.10147 (2018) - [i2]Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Knowledge Representation Learning: A Quantitative Review. CoRR abs/1812.10901 (2018) - 2016
- [i1]Xu Han, Zhiyuan Liu, Maosong Sun:
Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion. CoRR abs/1611.04125 (2016)
Coauthor Index
Juan-Zi Li
aka: Juanzi Li
aka: Juanzi Li
[j9] [c65] [c57] [c56] [c55] [i78] [i76] [i56] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i52] [i51] [i50] [i48] [i47] [i46] [i45] [i43] [i40] [i39] [i38] [i37] [c43] [c40] [c39] [c38] [c35] [i35] [i34] [i33] [j5] [j1] [c33] [c31] [i32] [i29] [i27] [i26] [i25] [c27] [c24] [c23] [c19] [i20] [i19] [i18] [i16] [c17] [c15] [i12] [c5] [c4] [i2]
[j9] [c66] [c65] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i57] [i56] [i55] [i54] [i53] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i41] [i40] [i39] [i38] [i37] [j7] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [i36] [i35] [i34] [i33] [j6] [j5] [j4] [j3] [j2] [j1] [c34] [c33] [c32] [c31] [c30] [c29] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c6] [c5] [c4] [c3] [c2] [c1] [i4] [i3] [i2] [i1]
[j9] [c66] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i78] [i77] [i76] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [j7] [c45] [c44] [c43] [c41] [c39] [c38] [c35] [i35] [i34] [j6] [j5] [j4] [j1] [c34] [c33] [c30] [c29] [i32] [i31] [i29] [i28] [i27] [i25] [i23] [c28] [c27] [c26] [c25] [c23] [c22] [c19] [i20] [i18] [i16] [i15] [i14] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c9] [c8] [c7] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [i5] [c6] [c5] [c4] [c3] [c2] [c1] [i4] [i3] [i2] [i1]
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