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ORCIDYankai Lin
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2020 – today
- 2024
[j9]Yankai Lin, Iman Shames, Dragan Nesic:
Online convex optimization using coordinate descent algorithms. Autom. 165: 111681 (2024)- [j8]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen:
A survey on large language model based autonomous agents. Frontiers Comput. Sci. 18(6): 186345 (2024) - [j7]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) - [j6]Yujia Qin, Xiaozhi Wang, Yusheng Su, Yankai Lin, Ning Ding, Jing Yi, Weize Chen, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3631-3643 (2024) - [c86]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. ACL (1) 2024: 1088-1113 - [c85]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 - [c84]Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun:
DebugBench: Evaluating Debugging Capability of Large Language Models. ACL (Findings) 2024: 4173-4198 - [c83]Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin:
Towards Tool Use Alignment of Large Language Models. EMNLP 2024: 1382-1400 - [c82]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. EMNLP 2024: 1437-1454 - [c81]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 - [c80]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 - [c79]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. ICLR 2024 - [c78]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. ICLR 2024 - [c77]Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. ICML 2024 - [c76]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 - [c75]Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao:
USimAgent: Large Language Models for Simulating Search Users. SIGIR 2024: 2687-2692 - [c74]Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong:
Empowering Large Language Models: Tool Learning for Real-World Interaction. SIGIR 2024: 2983-2986 - [c73]An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992 - [c72]Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245 - [i98]Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun:
DebugBench: Evaluating Debugging Capability of Large Language Models. CoRR abs/2401.04621 (2024) - [i97]Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun:
Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution. CoRR abs/2401.13996 (2024) - [i96]Junjie Fang, Likai Tang, Hongzhe Bi, Yujia Qin, Si Sun, Zhenyu Li, Haolun Li, Yongjian Li, Xin Cong, Yukun Yan, Xiaodong Shi, Sen Song, Yankai Lin, Zhiyuan Liu, Maosong Sun:
UniMem: Towards a Unified View of Long-Context Large Language Models. CoRR abs/2402.03009 (2024) - [i95]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) - [i94]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) - [i93]Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. CoRR abs/2402.09205 (2024) - [i92]Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun:
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents. CoRR abs/2402.11208 (2024) - [i91]Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen:
Large Language Model-based Human-Agent Collaboration for Complex Task Solving. CoRR abs/2402.12914 (2024) - [i90]Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun:
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation. CoRR abs/2402.16667 (2024) - [i89]Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. CoRR abs/2402.19085 (2024) - [i88]Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao:
USimAgent: Large Language Models for Simulating Search Users. CoRR abs/2403.09142 (2024) - [i87]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i86]Yunzhuo Hao, Wenkai Yang, Yankai Lin:
Exploring Backdoor Vulnerabilities of Chat Models. CoRR abs/2404.02406 (2024) - [i85]Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun:
GUICourse: From General Vision Language Models to Versatile GUI Agents. CoRR abs/2406.11317 (2024) - [i84]Wenkai Yang, Shiqi Shen, Guangyao Shen, Zhi Gong, Yankai Lin:
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. CoRR abs/2406.11431 (2024) - [i83]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. CoRR abs/2406.14955 (2024) - [i82]Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun, Zhipeng Chen, Qian Cao, Yihan Wu, Yushuo Chen, Feng Wang, Lei Zhang, Junyi Li, Xiaolei Wang, Lei Wang, Beichen Zhang, Zican Dong, Xiaoxue Cheng, Yuhan Chen, Xinyu Tang, Yupeng Hou, Qiangqiang Ren, Xincheng Pang, Shufang Xie, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ze-Feng Gao, Yueguo Chen, Weizheng Lu, Ji-Rong Wen:
YuLan: An Open-source Large Language Model. CoRR abs/2406.19853 (2024) - [i81]Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, Wayne Xin Zhao, Zhicheng Dou, Jiaxin Mao, Yankai Lin, Ruihua Song, Jun Xu, Xu Chen, Rui Yan, Zhewei Wei, Di Hu, Wenbing Huang, Ji-Rong Wen:
Towards Effective and Efficient Continual Pre-training of Large Language Models. CoRR abs/2407.18743 (2024) - [i80]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) - [i79]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. CoRR abs/2410.03440 (2024) - [i78]Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR abs/2410.04360 (2024) - 2023
- [j5]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [c66]Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan:
Decouple knowledge from paramters for plug-and-play language modeling. ACL (Findings) 2023: 14288-14308 - [c65]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 - [c64]Jifan Yu, Hanming Li, Gan Luo, Yankai Lin, Peng Li, Jianjun Xu, Lei Hou, Bin Xu:
Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts. APWeb/WAIM (4) 2023: 359-374 - [c63]Yankai Lin, Michelle S. Chong, Carlos Murguia:
Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. CDC 2023: 7649-7654 - [c62]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 - [c61]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 - [c60]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun:
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. EMNLP 2023: 15062-15078 - [i77]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR abs/2301.10400 (2023) - [i76]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) - [i75]Yankai Lin, Michelle S. Chong, Carlos Murguia:
Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. CoRR abs/2304.10359 (2023) - [i74]Deming Ye, Yankai Lin, Zhengyan Zhang, Maosong Sun:
UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models. CoRR abs/2305.01624 (2023) - [i73]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) - [i72]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) - [i71]Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan:
Decouple knowledge from paramters for plug-and-play language modeling. CoRR abs/2305.11564 (2023) - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun:
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models. CoRR abs/2306.02320 (2023) - [i65]Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen:
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR abs/2306.02552 (2023) - [i64]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Text Watermarking for Large Language Models. CoRR abs/2307.15992 (2023) - [i63]Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun:
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR abs/2307.16789 (2023) - [i62]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i61]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) - [i60]Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Large Language Model as Autonomous Decision Maker. CoRR abs/2308.12519 (2023) - [i59]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) - [i58]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) - [i57]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) - [i56]Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han:
Don't Make Your LLM an Evaluation Benchmark Cheater. CoRR abs/2311.01964 (2023) - [i55]Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen:
Enabling Large Language Models to Learn from Rules. CoRR abs/2311.08883 (2023) - [i54]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) - [i53]Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun:
ProAgent: From Robotic Process Automation to Agentic Process Automation. CoRR abs/2311.10751 (2023) - [i52]Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun:
GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension. CoRR abs/2312.17294 (2023) - 2022
- [c59]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. ACL (2) 2022: 523-529 - [c58]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) 2022: 877-890 - [c57]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) 2022: 2306-2319 - [c56]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) 2022: 2789-2810 - [c55]Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) 2022: 3570-3581 - [c54]Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin:
On Length Divergence Bias in Textual Matching Models. ACL (Findings) 2022: 4187-4193 - [c53]Deming Ye, Yankai Lin, Peng Li, Maosong Sun:
Packed Levitated Marker for Entity and Relation Extraction. ACL (1) 2022: 4904-4917 - [c52]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 - [c51]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. COLING 2022: 4965-4975 - [c50]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 - [c49]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. EMNLP 2022: 2886-2897 - [c48]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 - [c47]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [c46]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 - [c45]Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI 2022: 2852-2858 - [c44]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 - [c43]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [i51]Yankai Lin, Iman Shames, Dragan Nesic:
Online Convex Optimization Using Coordinate Descent Algorithms. CoRR abs/2201.10017 (2022) - [i50]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. CoRR abs/2202.13392 (2022) - [i49]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR abs/2203.06311 (2022) - [i48]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR abs/2204.00862 (2022) - [i47]Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang:
Towards a General Pre-training Framework for Adaptive Learning in MOOCs. CoRR abs/2208.04708 (2022) - [i46]Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR abs/2208.07597 (2022) - [i45]Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. CoRR abs/2209.09401 (2022) - [i44]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - [i43]Xin Lv, Yankai Lin, Zijun Yao, Kaisheng Zeng, Jiajie Zhang, Lei Hou, Juanzi Li:
Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension. CoRR abs/2210.05921 (2022) - [i42]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. CoRR abs/2210.09658 (2022) - [i41]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) - [i40]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) - [i39]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) - [i38]Yankai Lin, Michelle S. Chong, Carlos Murguia:
Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. CoRR abs/2212.00593 (2022) - 2021
- [j4]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) - [j3]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) - [j2]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. IEEE Trans. Control. Netw. Syst. 8(3): 1348-1359 (2021) - [c42]Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun:
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. AAAI 2021: 12639-12647 - [c41]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. AAAI 2021: 13727-13735 - [c40]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 - [c39]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2021: 3350-3363 - [c38]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) 2021: 5543-5557 - [c37]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 - [c36]Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 2021: 4643-4652 - [c35]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) 2021: 379-389 - [c34]Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. EMNLP (Findings) 2021: 475-486 - [c33]Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild. EMNLP (1) 2021: 4452-4472 - [c32]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. EMNLP (1) 2021: 8365-8381 - [c31]Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun:
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. NAACL-HLT 2021: 5798-5809 - [c30]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [i37]Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. CoRR abs/2102.03732 (2021) - [i36]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) - [i35]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. CoRR abs/2102.07953 (2021) - [i34]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) - [i33]Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun:
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. CoRR abs/2105.11618 (2021) - [i32]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) - [i31]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) - [i30]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) - [i29]Deming Ye, Yankai Lin, Maosong Sun:
Pack Together: Entity and Relation Extraction with Levitated Marker. CoRR abs/2109.06067 (2021) - [i28]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR abs/2109.11295 (2021) - [i27]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR abs/2110.01786 (2021) - [i26]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i25]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR abs/2110.07831 (2021) - [i24]Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR abs/2110.07867 (2021) - [i23]YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Understanding. CoRR abs/2111.06719 (2021) - [i22]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - 2020
- [b1]Zhiyuan Liu, Yankai Lin, Maosong Sun:
Representation Learning for Natural Language Processing. Springer 2020, ISBN 978-981-15-5572-5, pp. 1-334 - [c29]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI 2020: 3438-3445 - [c28]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. ACL 2020: 3059-3069 - [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]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 - [c25]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. EMNLP (1) 2020: 2961-2972 - [c24]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 - [c23]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186 - [c22]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 - [i21]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) - [i20]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. CoRR abs/2004.06870 (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]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. CoRR abs/2006.05165 (2020) - [i17]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) - [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]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. CoRR abs/2010.02565 (2020) - [i14]Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR abs/2012.14682 (2020) - [i13]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020)
2010 – 2019
- 2019
- [c21]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 - [c20]Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. ACL (1) 2019: 1331-1339 - [c19]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 - [c18]Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun:
XQA: A Cross-lingual Open-domain Question Answering Dataset. ACL (1) 2019: 2358-2368 - [c17]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Ascent. CDC 2019: 6380-6385 - [c16]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. EMNLP/IJCNLP (1) 2019: 2474-2484 - [c15]Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam:
Fact Discovery from Knowledge Base via Facet Decomposition. NAACL-HLT (1) 2019: 2892-2901 - [i12]Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. CoRR abs/1902.00756 (2019) - [i11]Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam:
Fact Discovery from Knowledge Base via Facet Decomposition. CoRR abs/1904.09540 (2019) - [i10]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) - [i9]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View. CoRR abs/1909.03211 (2019) - [i8]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. CoRR abs/1910.06701 (2019) - [i7]Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun:
Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network. CoRR abs/1911.02170 (2019) - [i6]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. CoRR abs/1911.02215 (2019) - [i5]Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun:
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. CoRR abs/1911.03904 (2019) - 2018
- [c14]Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Improving Neural Fine-Grained Entity Typing With Knowledge Attention. AAAI 2018: 5997-6004 - [c13]Yankai Lin, Haozhe Ji, Zhiyuan Liu, Maosong Sun:
Denoising Distantly Supervised Open-Domain Question Answering. ACL (1) 2018: 1736-1745 - [c12]Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic:
Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. CDC 2018: 5002-5007 - [c11]Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Adversarial Multi-lingual Neural Relation Extraction. COLING 2018: 1156-1166 - [c10]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 - [c9]Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu:
Cross-lingual Lexical Sememe Prediction. EMNLP 2018: 358-368 - [i4]Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun:
Knowledge Representation Learning: A Quantitative Review. CoRR abs/1812.10901 (2018) - 2017
- [j1]Ayana, Shiqi Shen, Yankai Lin, Cun-Chao Tu, Yu Zhao, Zhiyuan Liu, Maosong Sun:
Recent Advances on Neural Headline Generation. J. Comput. Sci. Technol. 32(4): 768-784 (2017) - [c8]Yankai Lin, Zhiyuan Liu, Maosong Sun:
Neural Relation Extraction with Multi-lingual Attention. ACL (1) 2017: 34-43 - [c7]Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Incorporating Relation Paths in Neural Relation Extraction. EMNLP 2017: 1768-1777 - 2016
- [c6]Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun:
Neural Relation Extraction with Selective Attention over Instances. ACL (1) 2016 - [c5]Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu:
Neural Sentiment Classification with User and Product Attention. EMNLP 2016: 1650-1659 - [c4]Yankai Lin, Zhiyuan Liu, Maosong Sun:
Knowledge Representation Learning with Entities, Attributes and Relations. IJCAI 2016: 2866-2872 - [c3]Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu:
Crossmodal Language Grounding, Learning, and Teaching. CoCo@NIPS 2016 - [i3]Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Incorporating Relation Paths in Neural Relation Extraction. CoRR abs/1609.07479 (2016) - 2015
- [c2]Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu:
Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI 2015: 2181-2187 - [c1]Yankai Lin, Zhiyuan Liu, Huan-Bo Luan, Maosong Sun, Siwei Rao, Song Liu:
Modeling Relation Paths for Representation Learning of Knowledge Bases. EMNLP 2015: 705-714 - [i2]Yankai Lin, Zhiyuan Liu, Maosong Sun:
Modeling Relation Paths for Representation Learning of Knowledge Bases. CoRR abs/1506.00379 (2015) - 2013
- [i1]Yan Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun:
THUNLP at TAC KBP 2013 in Entity Linking. TAC 2013
Coauthor Index
[j7] [c85] [c81] [c80] [c76] [i95] [i94] [i80] [i79] [c71] [c70] [c69] [c68] [c67] [c65] [c62] [c61] [i76] [i73] [i72] [i70] [i69] [i68] [i67] [i61] [i59] [i58] [i57] [i54] [c52] [c50] [c48] [c46] [c44] [i41] [i40] [i39] [j4] [j3] [c40] [c37] [i36] [i34] [i32] [i31] [i30] [c27] [c26] [c24] [c22] [i21] [i19] [i17] [i16] [c21] [c19] [i10] [c11] [c10] [i4]
Juan-Zi Li
aka: Juanzi Li
aka: Juanzi Li
[j6] [j5] [c68] [c64] [i77] [i68] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c50] [c49] [c47] [c45] [c44] [c43] [i50] [i49] [i48] [i46] [i44] [i42] [i39] [j4] [j3] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c30] [i36] [i34] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c21] [c16] [i10] [i9] [i8] [i6] [i5]
[j7] [j6] [c86] [c85] [c84] [c82] [c81] [c80] [c79] [c77] [c76] [i98] [i97] [i96] [i95] [i94] [i93] [i91] [i90] [i89] [i87] [i85] [i80] [i79] [c71] [c70] [c69] [c68] [c67] [c65] [c62] [c61] [c60] [i76] [i73] [i72] [i70] [i69] [i68] [i67] [i66] [i63] [i61] [i60] [i59] [i58] [i57] [i54] [i53] [i52] [c59] [c58] [c56] [c55] [c52] [c51] [c50] [c48] [c46] [c44] [c43] [i50] [i49] [i45] [i41] [i40] [i39] [j4] [j3] [c40] [c39] [c37] [c33] [i37] [i36] [i34] [i32] [i31] [i30] [i27] [i24] [i23] [b1] [c27] [c26] [c24] [c23] [c22] [i21] [i20] [i19] [i17] [i16] [i13] [c21] [c20] [c19] [c18] [c16] [c15] [i12] [i11] [i10] [i8] [i7] [c14] [c13] [c11] [c10] [c9] [i4] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [i3] [c2] [c1] [i2] [i1]
Yusheng Su
aka: YuSheng Su
aka: YuSheng Su
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