Zuo, Simiao

17 publications

ICLR 2024 Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis X Charles

NeurIPSW 2024 What You See Is What You Get: Entity-Aware Summarization for Reliable Sponsored Search Xiao Liang, Xinyu Hu, Simiao Zuo, Jimi He, Yu Wang, Victor Ye Dong, Yeyun Gong, Kushal S. Dave, Yi Liu, Qiang Lou, Shao-Lun Huang, Jian Jiao

NeurIPSW 2023 DiP-GNN: Discriminative Pre-Training of Graph Neural Networks Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao

NeurIPSW 2023 Evaluating Adversarial Defense in the Era of Large Language Models Joachim Studnia, Simiao Zuo, Xiaodong Liu, Qiang Lou, Jian Jiao, Denis Charles

NeurIPSW 2023 Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles

NeurIPSW 2023 Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis X Charles

ICML 2023 Less Is More: Task-Aware Layer-Wise Distillation for Language Model Compression Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao

ICML 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

NeurIPSW 2023 Machine Learning Force Fields with Data Cost Aware Training Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

NeurIPS 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

ICML 2023 SMURF-THP: Score Matching-Based UnceRtainty quantiFication for Transformer Hawkes Process Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha

L4DC 2022 Adversarially Regularized Policy Learning Guided by Trajectory Optimization Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao

ICLR 2022 No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao

ICML 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao

ICLR 2022 Taming Sparsely Activated Transformer with Stochastic Experts Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao

ICLR 2021 A Hypergradient Approach to Robust Regression Without Correspondence Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha

ICML 2020 Transformer Hawkes Process Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha