Lin, Yankai

32 publications

ICLR 2025 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

NeurIPS 2025 Generalizing Experience for Language Agents with Hierarchical MetaFlows Shengda Fan, Xin Cong, Zhong Zhang, Yuepeng Fu, Yesai Wu, Hao Wang, Xinyu Zhang, Enrui Hu, Yankai Lin

NeurIPS 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

ICLRW 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

ICLR 2025 Learning Evolving Tools for Large Language Models Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

NeurIPS 2025 Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning Yiju Guo, Wenkai Yang, Zexu Sun, Ning Ding, Zhiyuan Liu, Yankai Lin

ICLR 2025 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

ICLR 2025 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

ICLR 2025 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

NeurIPS 2025 Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei

ICLR 2025 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

ICLRW 2025 Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu

ICLR 2025 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

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees 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

ICML 2024 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

NeurIPS 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICMLW 2024 InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun

ICLR 2024 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

ICLR 2024 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

ICLR 2024 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

ICLR 2024 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

ICML 2024 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

NeurIPS 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

TMLR 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

IJCAI 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

AAAI 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

AAAI 2021 Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

NeurIPS 2021 Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

AAAI 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

AAAI 2018 Improving Neural Fine-Grained Entity Typing with Knowledge Attention Ji Xin, Yankai Lin, Zhiyuan Liu, Maosong Sun

IJCAI 2016 Knowledge Representation Learning with Entities, Attributes and Relations Yankai Lin, Zhiyuan Liu, Maosong Sun

AAAI 2015 Learning Entity and Relation Embeddings for Knowledge Graph Completion Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu