Tu, Kewei

17 publications

ICLR 2026 Repurposing Synthetic Data for Fine-Grained Search Agent Supervision Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Ding-Chu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang

ICLR 2026 Scaling Agents via Continual Pre-Training Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Rui Ye, Yong Jiang, Ningyu Zhang, Pengjun Xie, Fei Huang, Kai Ye, Kewei Tu, Chenxiong Qian, Jingren Zhou

ICML 2025 Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling Xiang Hu, Zhihao Teng, Jun Zhao, Wei Wu, Kewei Tu

NeurIPS 2025 Hardware-Aligned Hierarchical Sparse Attention for Efficient Long-Term Memory Access Xiang Hu, Jiaqi Leng, Jun Zhao, Kewei Tu, Wei Wu

ICLR 2024 Augmenting Transformers with Recursively Composed Multi-Grained Representations Xiang Hu, Qingyang Zhu, Kewei Tu, Wei Wu

AAAI 2024 Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields Chaoyi Ai, Kewei Tu

AAAI 2024 SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

ICLR 2023 A Multi-Grained Self-Interpretable Symbolic-Neural Model for Single/Multi-Labeled Text Classification Xiang Hu, XinYu Kong, Kewei Tu

AAAI 2022 Span-Based Semantic Role Labeling with Argument Pruning and Second-Order Inference Zixia Jia, Zhaohui Yan, Haoyi Wu, Kewei Tu

AAAI 2019 Bidirectional Transition-Based Dependency Parsing Yunzhe Yuan, Yong Jiang, Kewei Tu

AAAI 2018 Maximum a Posteriori Inference in Sum-Product Networks Jun Mei, Yong Jiang, Kewei Tu

AAAI 2017 Latent Dependency Forest Models Shanbo Chu, Yong Jiang, Kewei Tu

ICCV 2017 Structured Attentions for Visual Question Answering Chen Zhu, Yanpeng Zhao, Shuaiyi Huang, Kewei Tu, Yi Ma

IJCAI 2016 Stochastic And-or Grammars: A Unified Framework and Logic Perspective Kewei Tu

ACML 2015 Curriculum Learning of Bayesian Network Structures Yanpeng Zhao, Yetian Chen, Kewei Tu, Jin Tian

NeurIPS 2013 Unsupervised Structure Learning of Stochastic And-or Grammars Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu

IJCAI 2011 On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars Kewei Tu, Vasant G. Honavar