Chenguang Zhu - RankMe

157 papers A* 23A 2B 1Journal 82Unranked 47

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Boosting LLM Reasoning via Spontaneous Self-Correction. CoRR Xutong Zhao, Tengyu Xu, Xuewei Wang, Zhengxing Chen, Di Jin, Liang Tan, Yen-Ting, Zishun Yu, Zhuokai Zhao, Yun He, Sinong Wang, Han Fang, Sarath Chandar, Chenguang Zhu
2025	A*	`conf`	Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2025	—	`conf`	Self-Generated Critiques Boost Reward Modeling for Language Models. NAACL (Long Papers) Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024	—	`conf`	How Does In-Context Learning Help Prompt Tuning? EACL (Findings) Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer
2024	—	`book`	Knowledge-augmented Methods for Natural Language Processing Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu
2024	J	`jnl`	Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten
2024	J	`jnl`	Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang
2024	—	`conf`	PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. EACL (1) Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer
2024	J	`jnl`	See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses. CoRR Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang
2024	J	`jnl`	Self-Generated Critiques Boost Reward Modeling for Language Models. CoRR Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024	—	`conf`	Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2024	—	`conf`	i-Code Studio: A Configurable and Composable Framework for Integrative AI. EMNLP (System Demonstrations) Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2024	—	`conf`	i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2023	—	`conf`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2023	A*	`conf`	Any-to-Any Generation via Composable Diffusion. NeurIPS Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
2023	J	`jnl`	Any-to-Any Generation via Composable Diffusion. CoRR Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
2023	—	`conf`	Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023	J	`jnl`	Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023	A*	`conf`	Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
2023	A*	`conf`	Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
2023	J	`jnl`	How Does In-Context Learning Help Prompt Tuning? CoRR Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer
2023	A*	`conf`	Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CVPR Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
2023	—	`conf`	In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023	J	`jnl`	In-Context Demonstration Selection with Cross Entropy Difference. CoRR Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
2023	—	`conf`	InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
2023	A	`conf`	Knowledge-Augmented Methods for Natural Language Processing. WSDM Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
2023	—	`conf`	LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng
2023	J	`jnl`	MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
2023	J	`jnl`	PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. CoRR Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer
2023	J	`jnl`	Small Models are Valuable Plug-ins for Large Language Models. CoRR Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2023	A*	`conf`	The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023	J	`jnl`	The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
2023	—	`conf`	UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. ACL (1) Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
2023	A*	`conf`	Unifying Vision, Text, and Layout for Universal Document Processing. CVPR Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
2023	—	`conf`	Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
2023	J	`jnl`	i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
2023	J	`jnl`	i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2023	A*	`conf`	i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2022	J	`jnl`	A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2022	A*	`conf`	A Unified Encoder-Decoder Framework with Entity Memory. EMNLP Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022	J	`jnl`	A Unified Encoder-Decoder Framework with Entity Memory. CoRR Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
2022	J	`jnl`	APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
2022	—	`conf`	AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang
2022	J	`jnl`	AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang
2022	A*	`conf`	An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
2022	—	`conf`	Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
2022	A*	`conf`	CLIP-Event: Connecting Text and Images with Event Structures. CVPR Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
2022	J	`jnl`	CLIP-Event: Connecting Text and Images with Event Structures. CoRR Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
2022	—	`conf`	DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2022	A*	`conf`	DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2022	—	`conf`	Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2022	—	`conf`	Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022	J	`jnl`	Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
2022	A*	`conf`	Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022	J	`jnl`	Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022	—	`conf`	End-to-End Segmentation-based News Summarization. ACL (Findings) Yang Liu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. CoRR Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu
2022	J	`jnl`	Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
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`	Impossible Triangle: What's Next for Pre-trained Language Models? CoRR Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CoRR Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
2022	A*	`conf`	JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2022	—	`conf`	KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2022	—	`conf`	Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
2022	A*	`conf`	Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
2022	J	`jnl`	Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
2022	—	`conf`	Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
2022	A*	`conf`	Leveraging Locality in Abstractive Text Summarization. EMNLP Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
2022	J	`jnl`	Leveraging Locality in Abstractive Text Summarization. CoRR Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2022	—	`conf`	Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
2022	J	`jnl`	Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
2022	J	`jnl`	MACSum: Controllable Summarization with Mixed Attributes. CoRR Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
2022	—	`conf`	Narrate Dialogues for Better Summarization. EMNLP (Findings) Ruochen Xu, Chenguang Zhu, Michael Zeng
2022	A*	`conf`	ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng
2022	A*	`conf`	REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. NeurIPS Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
2022	J	`jnl`	REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. CoRR Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
2022	A*	`conf`	Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2022	J	`jnl`	Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
2022	—	`conf`	Summ ACL (1) Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
2022	—	`conf`	Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
2022	A*	`conf`	Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022	J	`jnl`	Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
2022	—	`conf`	Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
2022	J	`jnl`	UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
2022	J	`jnl`	Unifying Vision, Text, and Layout for Universal Document Processing. CoRR Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
2022	—	`conf`	Unsupervised Multi-Granularity Summarization. EMNLP (Findings) Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022	J	`jnl`	Unsupervised Summarization with Customized Granularities. CoRR Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
2022	J	`jnl`	Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
2022	J	`jnl`	i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
2021	J	`jnl`	An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
2021	—	`conf`	An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
2021	J	`jnl`	An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
2021	J	`jnl`	DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
2021	A	`conf`	Data Augmentation for Spoken Language Understanding via Pretrained Language Models. Interspeech Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao
2021	J	`jnl`	DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2021	J	`jnl`	Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
2021	J	`jnl`	Does Knowledge Help General NLU? An Empirical Study. CoRR Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng
2021	J	`jnl`	End-to-End Segmentation-based News Summarization. CoRR Yang Liu, Chenguang Zhu, Michael Zeng
2021	—	`conf`	Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
2021	—	`conf`	Fusing Context Into Knowledge Graph for Commonsense Question Answering. ACL/IJCNLP (Findings) Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
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	—	`conf`	Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
2021	J	`jnl`	KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
2021	J	`jnl`	Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
2021	A*	`conf`	Leveraging Lead Bias for Zero-shot Abstractive News Summarization. SIGIR Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang
2021	J	`jnl`	MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang
2021	—	`conf`	MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. NAACL-HLT Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
2021	J	`jnl`	MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. CoRR Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
2021	—	`conf`	RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. ACL/IJCNLP (1) Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
2021	—	`conf`	Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
2021	J	`jnl`	Retrieval Enhanced Model for Commonsense Generation. CoRR Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
2021	—	`conf`	SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. NAACL-HLT Yu-An Chung, Chenguang Zhu, Michael Zeng
2021	J	`jnl`	SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. CoRR Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao
2021	—	`conf`	Sentence-Permuted Paragraph Generation. EMNLP (1) Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021	J	`jnl`	Sentence-Permuted Paragraph Generation. CoRR Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
2021	J	`jnl`	Summ CoRR Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
2021	—	`conf`	Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2021	J	`jnl`	Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
2020	—	`conf`	A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining. EMNLP (Findings) Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
2020	J	`jnl`	A Survey of Knowledge-Enhanced Text Generation. CoRR Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
2020	J	`jnl`	Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
2020	J	`jnl`	Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao
2020	J	`jnl`	End-to-End Abstractive Summarization for Meetings. CoRR Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
2020	—	`conf`	Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
2020	J	`jnl`	Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
2020	J	`jnl`	Fusing Context Into Knowledge Graph for Commonsense Reasoning. CoRR Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
2020	J	`jnl`	Injecting Entity Types into Entity-Guided Text Generation. CoRR Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
2020	J	`jnl`	JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
2020	J	`jnl`	Meta Dialogue Policy Learning. CoRR Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng
2020	J	`jnl`	Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization. CoRR Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
2020	—	`conf`	Mixed-Lingual Pre-training for Cross-lingual Summarization. AACL/IJCNLP Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
2020	J	`jnl`	Mixed-Lingual Pre-training for Cross-lingual Summarization. CoRR Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang
2020	J	`jnl`	RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. CoRR Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
2020	J	`jnl`	Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding. CoRR Yu-An Chung, Chenguang Zhu, Michael Zeng
2020	—	`conf`	TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
2020	J	`jnl`	TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
2019	—	`conf`	Embedding Imputation with Grounded Language Information. ACL (1) Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
2019	J	`jnl`	Embedding Imputation with Grounded Language Information. CoRR Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
2019	—	`conf`	Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering. NAACL-HLT (1) Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2019	J	`jnl`	Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization. CoRR Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang
2019	—	`conf`	Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue. EMNLP/IJCNLP (1) Chenguang Zhu, Michael Zeng, Xuedong Huang
2019	B	`conf`	SIM: A Slot-Independent Neural Model for Dialogue State Tracking. SIGdial Chenguang Zhu, Michael Zeng, Xuedong Huang
2019	J	`jnl`	SIM: A Slot-Independent Neural Model for Dialogue State Tracking. CoRR Chenguang Zhu, Michael Zeng, Xuedong Huang
2018	J	`jnl`	Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering. CoRR Jianmo Ni, Chenguang Zhu, Weizhu Chen, Julian J. McAuley
2018	J	`jnl`	SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering. CoRR Chenguang Zhu, Michael Zeng, Xuedong Huang
2017	—	`conf`	Reducing inefficiencies in taxi systems. CDC Chenguang Zhu, Balaji Prabhakar
2015	—	`—`	Analysis and modeling of large-scale systems : taxis and social polling. Chenguang Zhu
2015	—	`conf`	Polling one's friends: A graph theoretic view. Allerton Chenguang Zhu, Hossein Karkeh Abadi, Balaji Prabhakar
2012	J	`jnl`	Information Diffusion and External Influence in Networks CoRR Seth A. Myers, Chenguang Zhu, Jure Leskovec
2012	A*	`conf`	Information diffusion and external influence in networks. KDD Seth A. Myers, Chenguang Zhu, Jure Leskovec