Hao Cheng

112 papers A* 17A 2Journal 66Unranked 27
YearRankTypeTitle / 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 A* conf
CollabLLM: From Passive Responders to Active Collaborators.
ICML
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao
2025 J jnl
CollabLLM: From Passive Responders to Active Collaborators.
CoRR
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao
2025 J jnl
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation.
CoRR
Liliang Ren, Congcong Chen, Haoran Xu, Young Jin Kim, Adam Atkinson, Zheng Zhan, Jiankai Sun, Baolin Peng, Liyuan Liu, Shuohang Wang, Hao Cheng, Jianfeng Gao, Weizhu Chen, Yelong Shen
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 J jnl
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents.
CoRR
Xiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao
2025 J jnl
Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents.
CoRR
Xiao Yu, Baolin Peng, Ruize Xu, Michel Galley, Hao Cheng, Suman Nath, Jianfeng Gao, Zhou Yu
2025 A* conf
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning.
ICLR
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
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
On Memory Construction and Retrieval for Personalized Conversational Agents.
CoRR
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
2025 J jnl
Reinforcement Learning for Reasoning in Large Language Models with One Training Example.
CoRR
Yiping Wang, Qing Yang, Zhiyuan Zeng, Liliang Ren, Lucas Liu, Baolin Peng, Hao Cheng, Xuehai He, Kuan Wang, Jianfeng Gao, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2025 J jnl
SAS: Simulated Attention Score.
CoRR
Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
2025 A* conf
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents.
ICLR
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, 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 J jnl
ThetaEvolve: Test-time Learning on Open Problems.
CoRR
Yiping Wang, Shao-Rong Su, Zhiyuan Zeng, Eva Xu, Liliang Ren, Xinyu Yang, Zeyi Huang, Xuehai He, Luyao Ma, Baolin Peng, Hao Cheng, Pengcheng He, Weizhu Chen, Shuohang Wang, Simon Shaolei Du, Yelong Shen
2024 J jnl
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking.
CoRR
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
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 — conf
DocLens: Multi-aspect Fine-grained Medical Text Evaluation.
ACL (1)
Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé
2024 J jnl
Encode Once and Decode in Parallel: Efficient Transformer Decoding.
CoRR
Bo-Ru Lu, Nikita Haduong, Chien-Yu Lin, Hao Cheng, Noah A. Smith, Mari Ostendorf
2024 J jnl
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning.
CoRR
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
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
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
ECCV (47)
Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
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 A* conf
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
ICLR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
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
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking.
NAACL-HLT
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
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
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning.
CoRR
Xiaodong Yu, Ben Zhou, Hao Cheng, Dan Roth
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 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 — conf
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering.
ACL (1)
Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, 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 A* conf
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
NeurIPS
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
2023 J jnl
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
CoRR
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
2023 J jnl
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.
CoRR
Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
2023 J jnl
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations.
CoRR
Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf
2023 J jnl
Enhancing Medical Text Evaluation with GPT-4.
CoRR
Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon
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 J jnl
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions.
Trans. Assoc. Comput. Linguistics
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
2023 J jnl
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents.
CoRR
Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li
2023 J jnl
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
2023 A* conf
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.
ICLR
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
2023 J jnl
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking.
CoRR
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
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 J jnl
Self-Verification Improves Few-Shot Clinical Information Extraction.
CoRR
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
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 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 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 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 J jnl
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions.
CoRR
Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi
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
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 J jnl
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.
CoRR
Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
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 — conf
Unsupervised Learning of Hierarchical Conversation Structure.
EMNLP (Findings)
Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf
2022 J jnl
Unsupervised Learning of Hierarchical Conversation Structure.
CoRR
Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf
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 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 — conf
Dialogue State Tracking with a Language Model using Schema-Driven Prompting.
EMNLP (1)
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
2021 J jnl
Dialogue State Tracking with a Language Model using Schema-Driven Prompting.
CoRR
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
2021 A* conf
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
KDD
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
2021 J jnl
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
CoRR
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
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 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
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
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
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 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
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 — 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 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
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
ACL
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2020 J jnl
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
CoRR
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
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
2019 — conf
A Dynamic Speaker Model for Conversational Interactions.
NAACL-HLT (1)
Hao Cheng, Hao Fang, Mari Ostendorf
2018 J jnl
Improving Span-based Question Answering Systems with Coarsely Labeled Data.
CoRR
Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova
2018 — conf
Sounding Board: A User-Centric and Content-Driven Social Chatbot.
NAACL-HLT (Demonstrations)
Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf
2018 J jnl
Sounding Board: A User-Centric and Content-Driven Social Chatbot.
CoRR
Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf
2017 A* conf
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space.
EMNLP
Hao Cheng, Hao Fang, Mari Ostendorf
2016 A* conf
Bi-directional Attention with Agreement for Dependency Parsing.
EMNLP
Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng
2016 J jnl
Bi-directional Attention with Agreement for Dependency Parsing.
CoRR
Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng
2016 — conf
Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions.
SocialNLP@EMNLP
Hao Fang, Hao Cheng, Mari Ostendorf
2016 J jnl
Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions.
CoRR
Hao Fang, Hao Cheng, Mari Ostendorf
2016 A conf
Scalable and Sound Low-Rank Tensor Learning.
AISTATS
Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans
2015 — conf
Language Models for Image Captioning: The Quirks and What Works.
ACL (2)
Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell
2015 J jnl
Language Models for Image Captioning: The Quirks and What Works.
CoRR
Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell
2015 A* conf
Open-Domain Name Error Detection using a Multi-Task RNN.
EMNLP
Hao Cheng, Hao Fang, Mari Ostendorf
2013 — conf
Characterizing the Representer Theorem.
ICML (1)
Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvári
2013 A conf
Convex Relaxations of Bregman Divergence Clustering.
UAI
Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013 J jnl
Convex Relaxations of Bregman Divergence Clustering.
CoRR
Hao Cheng, Xinhua Zhang, Dale Schuurmans
2013 — conf
Convex Two-Layer Modeling.
NIPS
Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans