Yankai Lin

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 158

Top Venues

Publications

Zhengyan Zhang, Yixin Song, Guanghui Yu, Xu Han, Yankai Lin, Chaojun Xiao, Chenyang Song, Zhiyuan Liu, Zeyu Mi, Maosong Sun
Wins: Discovering Efficient Activation Functions for Sparse LLMs. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun
Large Language Model as Autonomous Decision Maker. CoRR (2023)
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)
Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. CoRR (2023)
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 (2023)
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 (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)
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 (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. ACL (1) (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (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. EMNLP (Findings) (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)
Deming Ye, Yankai Lin, Zhengyan Zhang, Maosong Sun
UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models. CoRR (2023)
Yankai Lin, Michelle S. Chong, Carlos Murguia
Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. 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)
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 (2023)
Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. ACL (Findings) (2023)
Yankai Lin, Michelle S. Chong, Carlos Murguia
Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming. CDC (2023)
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)
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)
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 (2023)
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)
Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan
Decouple knowledge from paramters for plug-and-play language modeling. ACL (Findings) (2023)
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)
Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen
Enabling Large Language Models to Learn from Rules. CoRR (2023)
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 (2023)
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 (2023)
Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan
Decouple knowledge from paramters for plug-and-play language modeling. 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)
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 (2023)
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 (2023)
Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. EMNLP (2022)
Deming Ye, Yankai Lin, Peng Li, Maosong Sun
Packed Levitated Marker for Entity and Relation Extraction. ACL (1) (2022)
Yankai Lin, Iman Shames, Dragan Nesic
Online Convex Optimization Using Coordinate Descent Algorithms. CoRR (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)
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)
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 (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)
Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
Fully Hyperbolic Neural Networks. ACL (1) (2022)
Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin
On Length Divergence Bias in Textual Matching Models. ACL (Findings) (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. CoRR (2022)
Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. CoRR (2022)
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) (2022)
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)
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 (2022)
Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. CoRR (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 Delta Tuning. CoRR (2022)
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 (2022)
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)
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)
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 (2022)
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)
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 (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)
Yankai Lin, Michelle S. Chong, Carlos Murguia
Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks. CoRR (2022)
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)
Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR (2022)
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)
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 (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)
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)
Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR (2022)
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)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) (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)
Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR (2021)
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. AAAI (2021)
Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR (2021)
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)
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)
Yankai Lin, Iman Shames, Dragan Nesic
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun
TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. NAACL-HLT (2021)
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 (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)
Yankai Lin, Iman Shames, Dragan Nesic
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. CoRR (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)
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)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR (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)
Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS (2021)
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP 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. ACL/IJCNLP (1) (2021)
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)
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 (2021)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yankai Lin