Yankai Lin

According to our database, Yankai Lin authored at least 123 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on large language model based autonomous agents.

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

Frontiers Comput. Sci., December, 2024

USimAgent: Large Language Models for Simulating Search Users.

Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao

CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

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

CoRR, 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving.

Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen

CoRR, 2024

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents.

Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun

CoRR, 2024

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.

Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory.

Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Song Han, Maosong Sun

CoRR, 2024

ReLU² Wins: Discovering Efficient Activation Functions for Sparse LLMs.

Zhengyan Zhang, Yixin Song, Guanghui Yu, Xu Han, Yankai Lin, Chaojun Xiao, Chenyang Song, Zhiyuan Liu, Zeyu Mi, Maosong Sun

CoRR, 2024

UniMem: Towards a Unified View of Long-Context Large Language Models.

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

CoRR, 2024

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.

Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.

Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

2023

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension.

Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

ProAgent: From Robotic Process Automation to Agentic Process Automation.

Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.

Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li

CoRR, 2023

Enabling Large Language Models to Learn from Rules.

Wenkai Yang, Yankai Lin, Jie Zhou, Jirong Wen

CoRR, 2023

Don't Make Your LLM an Evaluation Benchmark Cheater.

Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han

CoRR, 2023

Unlock Predictable Scaling from Emergent Abilities.

Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Large Language Model as Autonomous Decision Maker.

Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages.

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

CoRR, 2023

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

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

CoRR, 2023

Towards Codable Text Watermarking for Large Language Models.

Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

RecAgent: A Novel Simulation Paradigm for Recommender Systems.

Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen

CoRR, 2023

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun

CoRR, 2023

UNTER: A Unified Knowledge Interface for Enhancing Pre-trained Language Models.

Deming Ye, Yankai Lin, Zhengyan Zhang, Maosong Sun

CoRR, 2023

Tool Learning with Foundation Models.

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

CoRR, 2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2023

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules.

Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.

Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming.

Yankai Lin, Michelle S. Chong, Carlos Murguia

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Emergent Modularity in Pre-trained Transformers.

Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models.

Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Plug-and-Play Document Modules for Pre-trained Models.

Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Recyclable Tuning for Continual Pre-training.

Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Decouple knowledge from paramters for plug-and-play language modeling.

Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning.

Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks.

Yankai Lin, Michelle S. Chong, Carlos Murguia

CoRR, 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

CoRR, 2022

Step out of KG: Knowledge Graph Completion via Knowledgeable Retrieval and Reading Comprehension.

Xin Lv, Yankai Lin, Zijun Yao, Kaisheng Zeng, Jiajie Zhang, Lei Hou, Juanzi Li

CoRR, 2022

Manual-Guided Dialogue for Flexible Conversational Agents.

Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang

CoRR, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs.

Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang

CoRR, 2022

Online Convex Optimization Using Coordinate Descent Algorithms.

Yankai Lin, Iman Shames, Dragan Nesic

CoRR, 2022

On Transferability of Prompt Tuning for Natural Language Processing.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Inheritance for Pre-trained Language Models.

Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction.

Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring Mode Connectivity for Pre-trained Language Models.

Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ROSE: Robust Selective Fine-tuning for Pre-trained Language Models.

Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models.

Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts.

Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Packed Levitated Marker for Entity and Relation Extraction.

Deming Ye, Yankai Lin, Peng Li, Maosong Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models.

Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

ELLE: Efficient Lifelong Pre-training for Emerging Data.

Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach.

Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.

Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On Length Divergence Bias in Textual Matching Models.

Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Fully Hyperbolic Neural Networks.

Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods.

Yankai Lin, Iman Shames, Dragan Nesic

IEEE Trans. Control. Netw. Syst., 2021

CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models.

YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2021

On Transferability of Prompt Tuning for Natural Language Understanding.

YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou

CoRR, 2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.

Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou

CoRR, 2021

MoEfication: Conditional Computation of Transformer Models for Efficient Inference.

Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

CoRR, 2021

Pack Together: Entity and Relation Extraction with Levitated Marker.

Deming Ye, Yankai Lin, Maosong Sun

CoRR, 2021

CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models.

YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun

CoRR, 2021

Representation Learning for Natural Language Processing.

Zhiyuan Liu, Yankai Lin, Maosong Sun

CoRR, 2021

CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models.

Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun

AI Open, 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference.

Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild.

Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dynamic Knowledge Distillation for Pre-trained Language Models.

Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.

Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

CLEVE: Contrastive Pre-training for Event Extraction.

Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.

Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework.

Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Accelerating Pre-trained Language Models via Calibrated Cascade.

Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models.

YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun

CoRR, 2020

Coreferential Reasoning Learning for Language Representation.

Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu

CoRR, 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.

Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Coreferential Reasoning Learning for Language Representation.

Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MAVEN: A Massive General Domain Event Detection Dataset.

Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction.

Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Disentangle-based Continual Graph Representation Learning.

Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation.

Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.

Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Representation Learning for Natural Language Processing

Zhiyuan Liu, Yankai Lin, Maosong Sun

Springer, ISBN: 978-981-15-5572-5, 2020

2019

Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.

Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

CoRR, 2019

Multi-Paragraph Reasoning with Knowledge-enhanced Graph Neural Network.

Deming Ye, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Maosong Sun

CoRR, 2019

Fact Discovery from Knowledge Base via Facet Decomposition.

Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning.

Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Ascent.

Yankai Lin, Iman Shames, Dragan Nesic

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Graph Neural Networks with Generated Parameters for Relation Extraction.

Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction.

Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

XQA: A Cross-lingual Open-domain Question Answering Dataset.

Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Knowledge Representation Learning: A Quantitative Review.

Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2018

Cross-lingual Lexical Sememe Prediction.

Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

OpenKE: An Open Toolkit for Knowledge Embedding.

Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Adversarial Multi-lingual Neural Relation Extraction.

Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption.

Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Denoising Distantly Supervised Open-Domain Question Answering.

Yankai Lin, Haozhe Ji, Zhiyuan Liu, Maosong Sun

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improving Neural Fine-Grained Entity Typing With Knowledge Attention.

Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Recent Advances on Neural Headline Generation.

Ayana, Shiqi Shen, Yankai Lin, Cun-Chao Tu, Yu Zhao, Zhiyuan Liu, Maosong Sun

J. Comput. Sci. Technol., 2017

Incorporating Relation Paths in Neural Relation Extraction.

Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Relation Extraction with Multi-lingual Attention.

Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Crossmodal Language Grounding, Learning, and Teaching.

Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu

Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

Knowledge Representation Learning with Entities, Attributes and Relations.

Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Neural Sentiment Classification with User and Product Attention.

Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Neural Relation Extraction with Selective Attention over Instances.

Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Modeling Relation Paths for Representation Learning of Knowledge Bases.

Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2015

Modeling Relation Paths for Representation Learning of Knowledge Bases.

Yankai Lin, Zhiyuan Liu, Huan-Bo Luan, Maosong Sun, Siwei Rao, Song Liu

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Entity and Relation Embeddings for Knowledge Graph Completion.

Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013

THUNLP at TAC KBP 2013 in Entity Linking.

Yan Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the Sixth Text Analysis Conference, 2013