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ORCIDHao Cheng 0002
Person information
- affiliation: Microsoft Research
- affiliation (PhD): University of Washington, Seattle, WA, USA
- affiliation (former): University of Alberta, Canada
Other persons with the same name
- Hao Cheng — disambiguation page
- Hao Cheng 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Hao Cheng 0003
![[0000-0003-4134-8479]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4134-8479")
— Shanghai University, School of Communication and Information Engineering, China (and 1 more) - Hao Cheng 0004 — Shanghai Jiao Tong University, Department of Automation, China
- Hao Cheng 0005 — University of California, Santa Cruz, CA, USA (and 1 more)
- Hao Cheng 0006 — Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 1 more)
- Hao Cheng 0007 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Hao Cheng 0008 — Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany
- Hao Cheng 0009 — University of Luxembourg, Luxembourg
- Hao Cheng 0010 — Tianjin University, School of Computer Science and Technology, China
- Hao Cheng 0011 — Jilin University, Key Laboratory of Geo-Exploration Instruments, China
- Hao Cheng 0012 — Tencent Youtu Lab, Shanghai, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
- Hao Cheng 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
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2020 – today
- 2024
[c40]Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé:
DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) 2024: 649-679- [c39]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. EACL (1) 2024: 209-225 - [c38]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:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. ECCV (47) 2024: 126-142 - [c37]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c36]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c35]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) 2024: 1333-1351 - [c34]Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking. NAACL-HLT 2024: 1434-1445 - [i51]Bo-Ru Lu, Nikita Haduong, Chien-Yu Lin, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Encode Once and Decode in Parallel: Efficient Transformer Decoding. CoRR abs/2403.13112 (2024) - [i50]Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao:
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. CoRR abs/2407.09590 (2024) - [i49]Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng:
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. CoRR abs/2409.10790 (2024) - [i48]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:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i47]Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu:
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. CoRR abs/2410.02052 (2024) - [i46]Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking. CoRR abs/2410.18209 (2024) - [i45]Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao:
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. CoRR abs/2410.18469 (2024) - [i44]Xiaodong Yu, Ben Zhou, Hao Cheng, Dan Roth:
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning. CoRR abs/2410.19056 (2024) - 2023
- [j3]Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Fine-tuning large neural language models for biomedical natural language processing. Patterns 4(4): 100729 (2023) - [j2]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions. Trans. Assoc. Comput. Linguistics 11: 453-468 (2023) - [c33]Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. ACL (1) 2023: 1599-1618 - [c32]Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. ACL (2) 2023: 1864-1875 - [c31]Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao:
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. EMNLP (Findings) 2023: 12259-12275 - [c30]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR 2023 - [c29]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. ICLR 2023 - [c28]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c27]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS 2023 - [c26]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. NeurIPS 2023 - [i43]Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao:
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR abs/2302.12813 (2023) - [i42]Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao:
Pre-training Transformers for Knowledge Graph Completion. CoRR abs/2303.15682 (2023) - [i41]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR abs/2304.09842 (2023) - [i40]Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Chain-of-Skills: A Configurable Model for Open-domain Question Answering. CoRR abs/2305.03130 (2023) - [i39]Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao:
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. CoRR abs/2305.14232 (2023) - [i38]Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon:
Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR abs/2306.00024 (2023) - [i37]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. CoRR abs/2306.07174 (2023) - [i36]Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf:
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR abs/2307.07047 (2023) - [i35]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i34]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. CoRR abs/2310.07347 (2023) - [i33]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. CoRR abs/2310.12516 (2023) - [i32]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:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. CoRR abs/2311.05437 (2023) - [i31]Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon:
Enhancing Medical Text Evaluation with GPT-4. CoRR abs/2311.09581 (2023) - [i30]Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking. CoRR abs/2311.09758 (2023) - 2022
- [j1]Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. ACM Trans. Comput. Heal. 3(1): 2:1-2:23 (2022) - [c25]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open Domain Question Answering with A Unified Knowledge Interface. ACL (1) 2022: 1605-1620 - [c24]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) 2022: 868-880 - [c23]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. EMNLP (Findings) 2022: 5360-5374 - [c22]Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Unsupervised Learning of Hierarchical Conversation Structure. EMNLP (Findings) 2022: 5657-5670 - [c21]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI 2022: 2762-2768 - [i29]Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao:
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR abs/2202.08772 (2022) - [i28]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. CoRR abs/2205.10178 (2022) - [i27]Bo-Ru Lu, Yushi Hu, Hao Cheng, Noah A. Smith, Mari Ostendorf:
Unsupervised Learning of Hierarchical Conversation Structure. CoRR abs/2205.12244 (2022) - [i26]Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, Hannaneh Hajishirzi:
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions. CoRR abs/2207.00746 (2022) - [i25]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR abs/2208.14565 (2022) - [i24]Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. CoRR abs/2210.05156 (2022) - [i23]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. CoRR abs/2210.12338 (2022) - [i22]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. CoRR abs/2212.10923 (2022) - 2021
- [c20]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. ACL/IJCNLP (1) 2021: 3080-3090 - [c19]Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
Dialogue State Tracking with a Language Model using Schema-Driven Prompting. EMNLP (1) 2021: 4937-4949 - [c18]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:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD 2021: 3717-3725 - [c17]Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. NAACL-HLT 2021: 1078-1089 - [c16]Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi:
Targeted Adversarial Training for Natural Language Understanding. NAACL-HLT 2021: 5385-5393 - [c15]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks 2021 - [i21]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 S. H. 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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i20]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR abs/2101.00178 (2021) - [i19]Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi:
Targeted Adversarial Training for Natural Language Understanding. CoRR abs/2104.05847 (2021) - [i18]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:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR abs/2106.13375 (2021) - [i17]Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf:
Dialogue State Tracking with a Language Model using Schema-Driven Prompting. CoRR abs/2109.07506 (2021) - [i16]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. CoRR abs/2110.08417 (2021) - [i15]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR abs/2111.02570 (2021) - [i14]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR abs/2112.03254 (2021) - [i13]Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. CoRR abs/2112.07869 (2021) - [i12]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervised Entity Linking. CoRR abs/2112.07887 (2021) - 2020
- [c14]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) 2020: 118-126 - [c13]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. ACL 2020: 5657-5667 - [c12]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 S. H. 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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i11]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR abs/2002.07972 (2020) - [i10]Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao:
Adversarial Training for Large Neural Language Models. CoRR abs/2004.08994 (2020) - [i9]Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. CoRR abs/2005.01898 (2020) - [i8]Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR abs/2007.15779 (2020) - [i7]Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. CoRR abs/2010.12638 (2020)
2010 – 2019
- 2019
- [c11]Hao Cheng, Hao Fang, Mari Ostendorf:
A Dynamic Speaker Model for Conversational Interactions. NAACL-HLT (1) 2019: 2772-2785 - 2018
- [c10]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. NAACL-HLT (Demonstrations) 2018: 96-100 - [i6]Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, Mari Ostendorf:
Sounding Board: A User-Centric and Content-Driven Social Chatbot. CoRR abs/1804.10202 (2018) - [i5]Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova:
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR abs/1811.02076 (2018) - 2017
- [c9]Hao Cheng, Hao Fang, Mari Ostendorf:
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space. EMNLP 2017: 2296-2306 - 2016
- [c8]Hao Fang, Hao Cheng, Mari Ostendorf:
Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions. SocialNLP@EMNLP 2016: 55-64 - [c7]Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans:
Scalable and Sound Low-Rank Tensor Learning. AISTATS 2016: 1114-1123 - [c6]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. EMNLP 2016: 2204-2214 - [i4]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. CoRR abs/1608.02076 (2016) - [i3]Hao Fang, Hao Cheng, Mari Ostendorf:
Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions. CoRR abs/1608.04808 (2016) - 2015
- [c5]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. ACL (2) 2015: 100-105 - [c4]Hao Cheng, Hao Fang, Mari Ostendorf:
Open-Domain Name Error Detection using a Multi-Task RNN. EMNLP 2015: 737-746 - [i2]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. CoRR abs/1505.01809 (2015) - 2013
- [c3]Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvári:
Characterizing the Representer Theorem. ICML (1) 2013: 570-578 - [c2]Özlem Aslan, Hao Cheng, Xinhua Zhang, Dale Schuurmans:
Convex Two-Layer Modeling. NIPS 2013: 2985-2993 - [c1]Hao Cheng, Xinhua Zhang, Dale Schuurmans:
Convex Relaxations of Bregman Divergence Clustering. UAI 2013 - [i1]Hao Cheng, Xinhua Zhang, Dale Schuurmans:
Convex Relaxations of Bregman Divergence Clustering. CoRR abs/1309.6823 (2013)
Coauthor Index
[c39] [c38] [c37] [c36] [c35] [i50] [i49] [i48] [i47] [i45] [j3] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i34] [i33] [i32] [j1] [c25] [c24] [c23] [c21] [i29] [i28] [i25] [i24] [i23] [i22] [c20] [c18] [c17] [c16] [c15] [i21] [i20] [i19] [i18] [i16] [i15] [i14] [i13] [i12] [c14] [c12] [i11] [i10] [i8] [i7] [c6] [i4]
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-12-19 23:08 CET by the dblp team
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