Yankai Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
113
Venues
13
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
113 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Towards Preference Following in Tool Calling Language Agents. | Zhi-Yuan Chen, Siyu Lu, Qianlong Xie, Xingxing Wang, Yankai Lin |
| 2026 | ACL | CURE: Critique-Driven Unified Reinforcement Learning for Test-Time Self-Improvement. | Guirong Chen, Shuqi Ye, Wenkai Yang, Shiqi Shen, Guangyao Shen, Yankai Lin |
| 2026 | ACL | Less Noise, More Voice: Reinforcement Learning for Reasoning via Instruction Purification. | Yiju Guo, Tianyi Hu, Zexu Sun, Yankai Lin |
| 2026 | ACL | Forest Before Trees: Latent Superposition for Efficient Visual Reasoning. | Yubo Wang, Juntian Zhang, Yichen Wu, Yankai Lin, Nils Lukas, Yuhan Liu |
| 2026 | ACL | Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers. | Songhao Wu, Ang Lv, Ruobing Xie, Samm Sun, Di Wang, Rui Yan, Yankai Lin |
| 2026 | ACL | LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. | Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li |
| 2026 | WWW | From Prediction to Understanding: Leveraging Reasoning in Large Language Model-based Recommendations. | Zhi-Yuan Chen, Siyu Lu, Qiang Liu, Xingxing Wang, Yankai Lin |
| 2025 | ACL | Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub. | Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Cheng Qian, Zihe Wang, Yujia Qin, Yining Ye, Yaxi Lu, Chen Qian, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | Towards Effective and Efficient Continual Pre-training of Large Language Models. | Jie Chen, Zhipeng Chen, Jiapeng Wang, Kun Zhou, Yutao Zhu, Jinhao Jiang, Yingqian Min, 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 |
| 2025 | ACL | GUICourse: From General Vision Language Model to Versatile GUI Agent. | 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 |
| 2025 | ACL | LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. | Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding |
| 2025 | ACL | Learning to Generate Structured Output with Schema Reinforcement Learning. | Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Zhiyuan Liu, Fangming Liu, Maosong Sun |
| 2025 | ACL | Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. | Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu |
| 2025 | ACL | AgentRM: Enhancing Agent Generalization with Reward Modeling. | Yu Xia, Jingru Fan, Weize Chen, Siyu Yan, Xin Cong, Zhong Zhang, Yaxi Lu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL. | Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu |
| 2025 | COLING | ICLEval: Evaluating In-Context Learning Ability of Large Language Models. | Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen |
| 2025 | COLING | Exploring Backdoor Vulnerabilities of Chat Models. | Wenkai Yang, Yunzhuo Hao, Yankai Lin |
| 2025 | COLING | Distilling Rule-based Knowledge into Large Language Models. | Wenkai Yang, Yankai Lin, Jie Zhou, Ji-Rong Wen |
| 2025 | EMNLP | AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning. | Zhong Zhang, Yaxi Lu, Yikun Fu, Yupeng Huo, Shenzhi Yang, Yesai Wu, Han Si, Xin Cong, Haotian Chen, Yankai Lin, Jie Xie, Wei Zhou, Wang Xu, Yuanheng Zhang, Zhou Su, Zhongwu Zhai, Xiaoming Liu, Yudong Mei, Jianming Xu, Hongyan Tian, Chongyi Wang, Chi Chen, Yuan Yao, Zhiyuan Liu, Maosong Sun |
| 2025 | EMNLP | Beyond the Surface: Measuring Self-Preference in LLM Judgments. | Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin |
| 2025 | ICLR | Learning Evolving Tools for Large Language Models. | Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang |
| 2025 | ICLR | WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. | Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ICLR | Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. | Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun |
| 2025 | ICLR | Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. | Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen |
| 2025 | ICLR | Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization. | Wenkai Yang, Shiqi Shen, Guangyao Shen, Wei Yao, Yong Liu, Gong Zhi, Yankai Lin, Ji-Rong Wen |
| 2025 | ICLR | Rational Decision-Making Agent with Learning Internal Utility Judgment. | Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ICLR | Advancing LLM Reasoning Generalists with Preference Trees. | Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun |
| 2025 | NAACL | GenSim: A General Social Simulation Platform with Large Language Model based Agents. | 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 |
| 2025 | NAACL | TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. | Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen |
| 2024 | ACL | 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 |
| 2024 | ACL | DebugBench: Evaluating Debugging Capability of Large Language Models. | Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun |
| 2024 | ACL | 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 |
| 2024 | EMNLP | Towards Tool Use Alignment of Large Language Models. | Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. | Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | EMNLP | SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent. | Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Qi Qi, Weiran Shen, Yankai Lin |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Predicting Emergent Abilities with Infinite Resolution Evaluation. | Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun |
| 2024 | ICLR | 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, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun |
| 2024 | ICLR | Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. | Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun |
| 2024 | ICML | ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. | Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | ICML | Exploring the Benefit of Activation Sparsity in Pre-training. | Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou |
| 2024 | WWW | Large Language Model Powered Agents in the Web. | Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | SIGIR | Large Language Model Powered Agents for Information Retrieval. | An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | SIGIR | Empowering Large Language Models: Tool Learning for Real-World Interaction. | Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong |
| 2024 | SIGIR | USimAgent: Large Language Models for Simulating Search Users. | Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao |
| 2023 | ACL | Decouple knowledge from paramters for plug-and-play language modeling. | Xin Cheng, Yankai Lin, Xiuying Chen, Dongyan Zhao, Rui Yan |
| 2023 | ACL | Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. | Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | 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 |
| 2023 | ACL | Recyclable Tuning for Continual Pre-training. | Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | APWEB | Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts. | Jifan Yu, Hanming Li, Gan Luo, Yankai Lin, Peng Li, Jianjun Xu, Lei Hou, Bin Xu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | ACL | Fully Hyperbolic Neural Networks. | Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | On Length Divergence Bias in Textual Matching Models. | Lan Jiang, Tianshu Lyu, Yankai Lin, Chong Meng, Xiaoyong Lyu, Dawei Yin |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | ELLE: Efficient Lifelong Pre-training for Emerging Data. | Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. | Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu |
| 2022 | ACL | Packed Levitated Marker for Entity and Relation Extraction. | Deming Ye, Yankai Lin, Peng Li, Maosong Sun |
| 2022 | ACL | MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. | Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | COLING | Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. | Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2022 | EMNLP | ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. | Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | IJCAI | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2021 | AAAI | Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. | Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun |
| 2021 | AAAI | Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | Rethinking Stealthiness of Backdoor Attack against NLP Models. | Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun |
| 2021 | CIKM | 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 |
| 2021 | EMNLP | 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 |
| 2021 | EMNLP | Dynamic Knowledge Distillation for Pre-trained Language Models. | Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun |
| 2021 | EMNLP | RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. | Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun |
| 2021 | EMNLP | 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 |
| 2021 | NAACL | TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference. | Deming Ye, Yankai Lin, Yufei Huang, Maosong Sun |
| 2020 | AAAI | 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 |
| 2020 | ACL | 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 |
| 2020 | ACL | Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou |
| 2020 | EMNLP | Disentangle-based Continual Graph Representation Learning. | Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Coreferential Reasoning Learning for Language Representation. | Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu |
| 2020 | IJCNLP | 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 |
| 2019 | ACL | XQA: A Cross-lingual Open-domain Question Answering Dataset. | Jiahua Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2019 | ACL | 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 |
| 2019 | ACL | 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 |
| 2019 | ACL | Graph Neural Networks with Generated Parameters for Relation Extraction. | Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun |
| 2019 | EMNLP | NumNet: Machine Reading Comprehension with Numerical Reasoning. | Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu |
| 2019 | NAACL | Fact Discovery from Knowledge Base via Facet Decomposition. | Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam |
| 2018 | AAAI | Improving Neural Fine-Grained Entity Typing With Knowledge Attention. | Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2018 | ACL | Denoising Distantly Supervised Open-Domain Question Answering. | Yankai Lin, Haozhe Ji, Zhiyuan Liu, Maosong Sun |
| 2018 | COLING | Adversarial Multi-lingual Neural Relation Extraction. | Xiaozhi Wang, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2018 | EMNLP | OpenKE: An Open Toolkit for Knowledge Embedding. | Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li |
| 2018 | EMNLP | Cross-lingual Lexical Sememe Prediction. | Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu |
| 2017 | ACL | Neural Relation Extraction with Multi-lingual Attention. | Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2017 | EMNLP | Incorporating Relation Paths in Neural Relation Extraction. | Wenyuan Zeng, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2016 | ACL | Neural Relation Extraction with Selective Attention over Instances. | Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun |
| 2016 | EMNLP | Neural Sentiment Classification with User and Product Attention. | Huimin Chen, Maosong Sun, Cunchao Tu, Yankai Lin, Zhiyuan Liu |
| 2016 | IJCAI | Knowledge Representation Learning with Entities, Attributes and Relations. | Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2015 | AAAI | Learning Entity and Relation Embeddings for Knowledge Graph Completion. | Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu |
| 2015 | EMNLP | Modeling Relation Paths for Representation Learning of Knowledge Bases. | Yankai Lin, Zhiyuan Liu, Huan-Bo Luan, Maosong Sun, Siwei Rao, Song Liu |