Liu, Xiaodong

28 publications

ICLR 2025 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
IJCAI 2025 ProMEA: Prompt-Driven Expansion and Alignment for Single Domain Generalization Yunyun Wang, Yi Guo, Xiaodong Liu, Songcan Chen
NeurIPS 2025 SAS: Simulated Attention Score Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Zhangyang Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
AAAI 2025 SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji, Xi Wang, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Weimin Zhang
AAAI 2025 Towards Verifiable Text Generation with Generative Agent Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu, Jun Ma, Jie Yu, See-Kiong Ng
ICLR 2024 Fast-ELECTRA for Efficient Pre-Training Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
NeurIPSW 2024 Generative Adapter: Contextualizing Language Models in Parameters with a Single Forward Pass Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
IJCAI 2024 Optimal Auction Design with User Coupons in Advertising Systems Xiaodong Liu, Zhikang Fan, Yiming Ding, Yuan Guo, Lihua Zhang, Changcheng Li, Dongying Kong, Han Li, Weiran Shen
ICLR 2024 Tell Your Model Where to Attend: Post-Hoc Attention Steering for LLMs Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
NeurIPS 2023 Augmenting Language Models with Long-Term Memory Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
IJCAI 2023 Auto-Bidding with Budget and ROI Constrained Buyers Xiaodong Liu, Weiran Shen
NeurIPSW 2023 Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
NeurIPS 2023 Bridging Discrete and Backpropagation: Straight-Through and Beyond Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
ICLR 2023 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-Trained Models Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li
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 Tell Your Model Where to Attend: Post-Hoc Attention Steering for LLMs Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
ICLR 2023 Visually-Augmented Language Modeling Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2022 Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao
IJCAI 2022 Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
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
ECCV 2022 PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song
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 DeBERTa: Decoding-Enhanced BERT with Disentangled Attention Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen
NeurIPS 2021 Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer Ge Yang, Edward Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
ICLR 2020 On the Variance of the Adaptive Learning Rate and Beyond Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
ICML 2020 UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon
NeurIPS 2019 Unified Language Model Pre-Training for Natural Language Understanding and Generation Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
NeurIPS 2018 Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He