Xiaodong Liu - RankMe

149 papers A* 21A 1B 3Journal 84Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training Large Reasoning Models Efficiently via Progressive Thought Encoding. CoRR Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao
2025	—	`conf`	Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. ACL (Findings) Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao
2025	A*	`conf`	Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. ICLR Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
2025	—	`conf`	Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. NAACL (Long Papers) Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
2025	J	`jnl`	Multimodal Reinforcement Learning with Agentic Verifier for AI Agents. CoRR Reuben Tan, Baolin Peng, Zhengyuan Yang, Hao Cheng, Oier Mees, Theodore Zhao, Andrea Tupini, Isar Meijier, Qianhui Wu, Yuncong Yang, Lars Liden, Yu Gu, Sheng Zhang, Xiaodong Liu, Lijuan Wang, Marc Pollefeys, Yong Jae Lee, Jianfeng Gao
2025	J	`jnl`	The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks. CoRR Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025	B	`conf`	Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. COLING Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao
2024	J	`jnl`	Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. CoRR Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao
2024	A*	`conf`	Fast-ELECTRA for Efficient Pre-training. ICLR Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2024	J	`jnl`	GRIN: GRadient-INformed MoE. CoRR Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen
2024	J	`jnl`	Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. CoRR Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
2024	J	`jnl`	Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. CoRR Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
2024	—	`conf`	Language Models as Inductive Reasoners. EACL (1) Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2024	J	`jnl`	Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. CoRR Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng
2024	—	`conf`	ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
2024	J	`jnl`	StreamAdapter: Efficient Test Time Adaptation from Contextual Streams. CoRR Dilxat Muhtar, Yelong Shen, Yaming Yang, Xiaodong Liu, Yadong Lu, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Xueliang Zhang, Jianfeng Gao, Weizhu Chen, Qi Zhang
2024	A*	`conf`	Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. ICLR Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
2024	J	`jnl`	Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao
2023	A*	`conf`	Augmenting Language Models with Long-Term Memory. NeurIPS Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2023	J	`jnl`	Augmenting Language Models with Long-Term Memory. CoRR Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2023	—	`conf`	AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2023	J	`jnl`	Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. CoRR Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
2023	A*	`conf`	Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
2023	J	`jnl`	Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
2023	J	`jnl`	Chain-of-Skills: A Configurable Model for Open-domain Question Answering. CoRR Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2023	J	`jnl`	Fast-ELECTRA for Efficient Pre-training. CoRR Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2023	J	`jnl`	Fine-tuning large neural language models for biomedical natural language processing. Patterns Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2023	—	`conf`	Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. ACL (1) Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
2023	J	`jnl`	Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. CoRR Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song
2023	—	`conf`	Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. EMNLP (Findings) Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
2023	J	`jnl`	Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. CoRR Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao
2023	J	`jnl`	Pre-training Transformers for Knowledge Graph Completion. CoRR Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao
2023	—	`conf`	Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. ACL (2) Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
2023	J	`jnl`	Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. CoRR Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
2023	A*	`conf`	Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
2023	A*	`conf`	Visually-Augmented Language Modeling. ICLR Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2022	J	`jnl`	A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
2022	A*	`conf`	AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. EMNLP Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2022	J	`jnl`	AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. CoRR Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2022	J	`jnl`	AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	J	`jnl`	AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2022	J	`jnl`	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. ACM Trans. Comput. Heal. Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022	J	`jnl`	Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
2022	A*	`conf`	Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	A*	`conf`	Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2022	—	`conf`	Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022	J	`jnl`	Language Models as Inductive Reasoners. CoRR Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei
2022	—	`conf`	LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao
2022	J	`jnl`	METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
2022	A*	`conf`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. ICLR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	—	`conf`	Open Domain Question Answering with A Unified Knowledge Interface. ACL (1) Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2022	—	`conf`	Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. EMNLP (Findings) Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2022	J	`jnl`	Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. CoRR Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2022	A*	`conf`	Taming Sparsely Activated Transformer with Stochastic Experts. ICLR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao
2022	J	`jnl`	Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. CoRR Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
2022	J	`jnl`	Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2022	J	`jnl`	Visually-Augmented Language Modeling. CoRR Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
2021	—	`conf`	ARCH: Efficient Adversarial Regularized Training with Caching. EMNLP (Findings) Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	ARCH: Efficient Adversarial Regularized Training with Caching. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	—	`conf`	Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. EMNLP (1) Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao
2021	A*	`conf`	Deberta: decoding-Enhanced Bert with Disentangled Attention. ICLR Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen
2021	—	`conf`	Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao
2021	J	`jnl`	Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. CoRR Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021	—	`conf`	Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	—	`conf`	HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2021	J	`jnl`	Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
2021	J	`jnl`	Knowledge-Rich Self-Supervised Entity Linking. CoRR Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	J	`jnl`	Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. CoRR Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
2021	—	`conf`	Posterior Differential Regularization with f-divergence for Improving Model Robustness. NAACL-HLT Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
2021	—	`conf`	Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	J	`jnl`	Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2021	—	`conf`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. ACL/IJCNLP (1) Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	J	`jnl`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. CoRR Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	J	`jnl`	Taming Sparsely Activated Transformer with Stochastic Experts. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
2021	—	`conf`	Targeted Adversarial Training for Natural Language Understanding. NAACL-HLT Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
2021	J	`jnl`	Targeted Adversarial Training for Natural Language Understanding. CoRR Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
2021	—	`conf`	Token-wise Curriculum Learning for Neural Machine Translation. EMNLP (Findings) Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	J	`jnl`	Token-wise Curriculum Learning for Neural Machine Translation. CoRR Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	A*	`conf`	Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2021	—	`conf`	UnitedQA: A Hybrid Approach for Open Domain Question Answering. ACL/IJCNLP (1) Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2021	J	`jnl`	UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2020	B	`conf`	A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. COLING Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
2020	J	`jnl`	A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing. CoRR Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
2020	—	`conf`	Adversarial Training for Commonsense Inference. RepL4NLP@ACL Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi
2020	J	`jnl`	Adversarial Training for Commonsense Inference. CoRR Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi
2020	J	`jnl`	Adversarial Training for Large Neural Language Models. CoRR Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao
2020	J	`jnl`	DeBERTa: Decoding-enhanced BERT with Disentangled Attention. CoRR Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen
2020	J	`jnl`	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2020	J	`jnl`	Generation-Augmented Retrieval for Open-domain Question Answering. CoRR Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen
2020	J	`jnl`	HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2020	A*	`conf`	On the Variance of the Adaptive Learning Rate and Beyond. ICLR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2020	J	`jnl`	Posterior Differential Regularization with f-divergence for Improving Model Robustness. CoRR Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
2020	A*	`conf`	RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. ACL Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
2020	A*	`conf`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. ACL Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2020	—	`conf`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2020	J	`jnl`	The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
2020	—	`conf`	Understanding the Difficulty of Training Transformers. EMNLP (1) Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han
2020	J	`jnl`	Understanding the Difficulty of Training Transformers. CoRR Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han
2020	A*	`conf`	UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon
2020	J	`jnl`	UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2020	J	`jnl`	Very Deep Transformers for Neural Machine Translation. CoRR Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao
2019	J	`jnl`	A Hybrid Neural Network Model for Commonsense Reasoning. CoRR Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao
2019	A	`conf`	A Hybrid Retrieval-Generation Neural Conversation Model. CIKM Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
2019	J	`jnl`	A Hybrid Retrieval-Generation Neural Conversation Model. CoRR Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu
2019	—	`conf`	Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
2019	J	`jnl`	Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang
2019	—	`conf`	Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. ACL (1) Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao
2019	J	`jnl`	Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. CoRR Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao
2019	—	`conf`	Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. NAACL-HLT (1) Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019	J	`jnl`	Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. CoRR Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin
2019	—	`conf`	DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019	J	`jnl`	DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. CoRR Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao
2019	J	`jnl`	Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. CoRR Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	—	`conf`	Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (1) Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	J	`jnl`	Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao
2019	—	`conf`	Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
2019	J	`jnl`	On the Variance of the Adaptive Learning Rate and Beyond. CoRR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2019	J	`jnl`	RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers. CoRR Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov, Matthew Richardson
2019	J	`jnl`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. CoRR Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2019	A*	`conf`	Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2019	J	`jnl`	Unified Language Model Pre-training for Natural Language Understanding and Generation. CoRR Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
2019	—	`conf`	Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
2019	J	`jnl`	Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
2018	A*	`conf`	Language-Based Image Editing With Recurrent Attentive Models. CVPR Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu
2018	J	`jnl`	Multi-Task Learning for Machine Reading Comprehension. CoRR Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao
2018	A*	`conf`	Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. NeurIPS Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
2018	J	`jnl`	Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. CoRR Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He
2018	J	`jnl`	ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme
2018	—	`conf`	Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao
2018	J	`jnl`	Stochastic Answer Networks for Natural Language Inference. CoRR Xiaodong Liu, Kevin Duh, Jianfeng Gao
2018	J	`jnl`	Stochastic Answer Networks for SQuAD 2.0. CoRR Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao
2017	—	`conf`	An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao
2017	J	`jnl`	An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao
2017	J	`jnl`	Language-Based Image Editing with Recurrent Attentive Models. CoRR Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu
2017	—	`conf`	Lexical Simplification with the Deep Structured Similarity Model. IJCNLP(2) Lis Pereira, Xiaodong Liu, John Lee
2017	J	`jnl`	Stochastic Answer Networks for Machine Reading Comprehension. CoRR Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao
2017	J	`jnl`	Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu
2015	J	`jnl`	A Hybrid Ranking Approach to Chinese Spelling Check. ACM Trans. Asian Low Resour. Lang. Inf. Process. Xiaodong Liu, Fei Cheng, Kevin Duh, Yuji Matsumoto
2015	J	`jnl`	Multilingual Topic Models for Bilingual Dictionary Extraction. ACM Trans. Asian Low Resour. Lang. Inf. Process. Xiaodong Liu, Kevin Duh, Yuji Matsumoto
2015	—	`conf`	Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. HLT-NAACL Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang
2013	—	`conf`	A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking. SIGHAN@IJCNLP Xiaodong Liu, Kevin Cheng, Yanyan Luo, Kevin Duh, Yuji Matsumoto
2013	B	`conf`	Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus. CoNLL Xiaodong Liu, Kevin Duh, Yuji Matsumoto
2010	—	`conf`	Use relative weight to improve the kNN for unbalanced text category. NLPKE Xiaodong Liu, Fuji Ren, Caixia Yuan