Du, Tianqi

10 publications

ICLR 2026 Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation Tianqi Du, Lizhe Fang, Weijie Yang, Chenheng Zhang, Zeming Wei, Yifei Wang, Yisen Wang

ICLR 2026 When More Is Less: Understanding Chain-of-Thought Length in LLMs Yuyang Wu, Yifei Wang, Ziyu Ye, Tianqi Du, Stefanie Jegelka, Yisen Wang

NeurIPS 2025 Language Ranker: A Lightweight Ranking Framework for LLM Decoding Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin

ICML 2025 Long-Short Alignment for Effective Long-Context Modeling in LLMs Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang

ICLRW 2025 When More Is Less: Understanding Chain-of-Thought Length in LLMs Yuyang Wu, Yifei Wang, Tianqi Du, Stefanie Jegelka, Yisen Wang

ICML 2024 Look Ahead or Look Around? a Theoretical Comparison Between Autoregressive and Masked Pretraining Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang

ICLR 2024 On the Role of Discrete Tokenization in Visual Representation Learning Tianqi Du, Yifei Wang, Yisen Wang

ICLR 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang

ICLR 2023 ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

ICLR 2023 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond Xiaojun Guo, Yifei Wang, Tianqi Du, Yisen Wang