Du, Li

17 publications

AAAI 2025 Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan

IJCAI 2025 FBQuant: FeedBack Quantization for Large Language Models Yijiang Liu, Hengyu Fang, Liulu He, Rongyu Zhang, Yichuan Bai, Yuan Du, Li Du

AAAI 2025 PAT: Pruning-Aware Tuning for Large Language Models Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du

ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-Based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

NeurIPS 2025 Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs Yifan Wei, Xiaoyan Yu, Tengfei Pan, Angsheng Li, Li Du

ICLR 2025 Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell

NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

AAAI 2024 BiPFT: Binary Pre-Trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang

ICML 2024 Principled Gradient-Based MCMC for Conditional Sampling of Text Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell

CVPR 2024 PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought Junyi Yao, Yijiang Liu, Zhen Dong, Mingfei Guo, Helan Hu, Kurt Keutzer, Li Du, Daquan Zhou, Shanghang Zhang

ICML 2024 SFC: Achieve Accurate Fast Convolution Under Low-Precision Arithmetic Liulu He, Yufei Zhao, Rui Gao, Yuan Du, Li Du

CVPR 2023 NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

ICCV 2023 QD-BEV : Quantization-Aware View-Guided Distillation for Multi-View 3D Object Detection Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

NeurIPS 2023 Structured Voronoi Sampling Afra Amini, Li Du, Ryan Cotterell

AAAI 2022 Mitigating Reporting Bias in Semi-Supervised Temporal Commonsense Inference with Probabilistic Soft Logic Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

ICLR 2020 The Curious Case of Neural Text Degeneration Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, Yejin Choi

ICCV 1993 Quantitative Analysis of the Viewpoint Consistency Constraint in Model-Based Vision Li Du, Geoffrey D. Sullivan, Keith D. Baker