Yankai Lin

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 183

Top Venues

Publications

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)
Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao
USimAgent: Large Language Models for Simulating Search Users. CoRR (2024)
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 (2024)
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)
Yunzhuo Hao, Wenkai Yang, Yankai Lin
Exploring Backdoor Vulnerabilities of Chat Models. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua
Large Language Model Powered Agents for Information Retrieval. SIGIR (2024)
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)
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) (2024)
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 (2024)
Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong
Empowering Large Language Models: Tool Learning for Real-World Interaction. SIGIR (2024)
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 (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)
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)
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)
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)
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)
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)
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 (2024)
Weize Chen, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun
Hyperbolic Pre-Trained Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao
USimAgent: Large Language Models for Simulating Search Users. SIGIR (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)
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)
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 (2024)
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 (2024)
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 (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)
Yankai Lin, Iman Shames, Dragan Nesic
Online convex optimization using coordinate descent algorithms. Autom. 165 (2024)
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 (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)
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)
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)
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)
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)

Yankai Lin.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yankai Lin