CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
Hao Cheng
Principal Researcher
Papiers de Collaboration
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Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
NAACL 2025 | April 2025
Selected for oral presentation
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SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
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PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Cheng, Lei Cui, Scarlett Li, Furu Wei
January 2025
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Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
ICLR 2025 | November 2024
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ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Publié par Microsoft
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Fast-ELECTRA for Efficient Pre-training
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
ICLR 2024 | October 2023
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MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
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Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
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Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
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Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
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Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Publié par Microsoft
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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
IJCAI 2022 | July 2022
human parity result on CommonsenseQA
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Knowledge-Rich Self-Supervision for Biomedical Entity Linking
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
EMNLP 2022 | May 2022
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Open Domain Question Answering with A Unified Knowledge Interface
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
ACL 2022 | May 2022
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CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata (Subho) Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Chris Meek, Ahmed Awadallah, Jianfeng Gao
NeurIPS 2021 | December 2021
-
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
2021 Empirical Methods in Natural Language Processing | September 2021
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Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
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UnitedQA: A Hybrid Approach for Open Domain Question Answering
Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Wei Chen, Jianfeng Gao
ACL-IJCNLP 2021 | December 2020
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Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
October 2020
-
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
August 2020
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Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Meeting of the Association for Computational Linguistics | June 2020
-
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
Meeting of the Association for Computational Linguistics | February 2020
DOI PDF PDF Publication Publication Publication Publication Publication
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
-
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
NAACL 2025 | April 2025
Selected for oral presentation
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SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
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Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
ICLR 2025 | November 2024
-
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Publié par Microsoft
-
Fast-ELECTRA for Efficient Pre-training
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
ICLR 2024 | October 2023
-
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
-
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
-
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
-
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Publié par Microsoft
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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
IJCAI 2022 | July 2022
human parity result on CommonsenseQA
-
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
EMNLP 2022 | May 2022
-
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata (Subho) Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Chris Meek, Ahmed Awadallah, Jianfeng Gao
NeurIPS 2021 | December 2021
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Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
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UnitedQA: A Hybrid Approach for Open Domain Question Answering
Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Wei Chen, Jianfeng Gao
ACL-IJCNLP 2021 | December 2020
-
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
October 2020
-
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Meeting of the Association for Computational Linguistics | June 2020
-
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
Meeting of the Association for Computational Linguistics | February 2020
DOI PDF PDF Publication Publication Publication Publication Publication
-
-
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Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
NAACL 2025 | April 2025
Selected for oral presentation
-
-
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CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
-
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
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ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Publié par Microsoft
-
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Publié par Microsoft
-
-
-
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
-
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Publié par Microsoft
-
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
-
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Publié par Microsoft
-
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
IJCAI 2022 | July 2022
human parity result on CommonsenseQA
-
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
EMNLP 2022 | May 2022
-
Open Domain Question Answering with A Unified Knowledge Interface
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
ACL 2022 | May 2022
-
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata (Subho) Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Chris Meek, Ahmed Awadallah, Jianfeng Gao
NeurIPS 2021 | December 2021
-
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
2021 Empirical Methods in Natural Language Processing | September 2021
-
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
-
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Meeting of the Association for Computational Linguistics | June 2020
-
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
Meeting of the Association for Computational Linguistics | February 2020
DOI PDF PDF Publication Publication Publication Publication Publication
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-
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PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Cheng, Lei Cui, Scarlett Li, Furu Wei
January 2025
-
-
-
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Cheng, Lei Cui, Scarlett Li, Furu Wei
January 2025
-
-
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
-
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
August 2020
-
-
-
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
-
-
-
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
October 2020
-
-
-
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
ICML 2025 | July 2025
-
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao
NAACL 2025 | April 2025
Selected for oral presentation
-
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICLR 2025 | April 2025
-
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
Yangyu Huang, Tianyi Gao, Haoran Xu, Qihao Zhao, Yang Song, Zhipeng Gui, Tengchao Lv, Hao Cheng, Lei Cui, Scarlett Li, Furu Wei
January 2025
-
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Ben Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng
ICLR 2025 | November 2024
-
Fast-ELECTRA for Efficient Pre-training
Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu
ICLR 2024 | October 2023
-
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chun-yue Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
ICLR 2024 | October 2023
-
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
NeurIPS 2023 | October 2023
-
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
NeurIPS 2023 | October 2023
-
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering
Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao
ACL 2023 | July 2023
-
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
IJCAI 2022 | July 2022
human parity result on CommonsenseQA
-
Knowledge-Rich Self-Supervision for Biomedical Entity Linking
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
EMNLP 2022 | May 2022
-
Open Domain Question Answering with A Unified Knowledge Interface
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao
ACL 2022 | May 2022
-
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding
Subhabrata (Subho) Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Chris Meek, Ahmed Awadallah, Jianfeng Gao
NeurIPS 2021 | December 2021
-
Dialogue State Tracking with a Language Model using Schema-Driven Prompting
Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf
2021 Empirical Methods in Natural Language Processing | September 2021
-
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
KDD 2021 | August 2021
-
UnitedQA: A Hybrid Approach for Open Domain Question Answering
Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Wei Chen, Jianfeng Gao
ACL-IJCNLP 2021 | December 2020
-
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Meeting of the Association for Computational Linguistics | June 2020
-
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao
Meeting of the Association for Computational Linguistics | February 2020
DOI PDF PDF Publication Publication Publication Publication Publication
-
-
-
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
MSR-TR-2024-63 | October 2024
Publié par Microsoft
-
Check your facts and try again: Improving large language models with external knowledge and automated feedback
Baoling Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao
MSR-TR-2023-46 | March 2023
Publié par Microsoft
-
-
-
Self-Verification Improves Few-Shot Clinical Information Extraction
Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
May 2023
-
Posterior Differential Regularization with f-divergence for Improving Model Robustness
Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao
October 2020
-
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
August 2020
-