Chenguang Zhu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 52

Top Topics

Natural Language

Question Answering

Commonsense Reasoning

Top Venues

EMNLP (Findings)

Publications

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) (2024)
Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer
How Does In-Context Learning Help Prompt Tuning? EACL (Findings) (2024)
Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. EACL (1) (2024)
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CVPR (2023)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR (2023)
Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization. ACL (1) (2023)
Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. CoRR (2023)
Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
MACSum: Controllable Summarization with Mixed Attributes. Trans. Assoc. Comput. Linguistics 11 (2023)
Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. EMNLP (2023)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. WSDM (2023)
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
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR (2022)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54 (11s) (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) (2022)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. CoRR (2022)
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
i-Code: An Integrative and Composable Multimodal Learning Framework. CoRR (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. EMNLP (Findings) (2022)
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. AAAI (2022)
Ruochen Xu, Chenguang Zhu, Michael Zeng
Narrate Dialogues for Better Summarization. EMNLP (Findings) (2022)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) (2022)
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)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) (2022)
Yang Liu, Chenguang Zhu, Michael Zeng
End-to-End Segmentation-based News Summarization. ACL (Findings) (2022)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP (2022)
Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng
ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. EMNLP (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR (2022)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. ACL (Findings) (2022)
Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao
Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. CoRR (2022)
Chenguang Zhu, Michael Zeng
Impossible Triangle: What's Next for Pre-trained Language Models? CoRR (2022)
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. EMNLP (2022)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) (2022)
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP (2022)
Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR (2022)
Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) (2022)
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. CoRR (2022)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) (2022)
Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. AAAI (2022)
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. CoRR (2022)
Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. ACL (1) (2022)
Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng
Task Compass: Scaling Multi-task Pre-training with Task Prefix. EMNLP (Findings) (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. CoRR (2022)
Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering. NeurIPS (2022)
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
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS (2022)
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
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR (2022)
Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng
Automatic Rule Induction for Efficient Semi-Supervised Learning. CoRR (2022)
Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang
AdaPrompt: Adaptive Model Training for Prompt-based NLP. EMNLP (Findings) (2022)
Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao
Data Augmentation for Spoken Language Understanding via Pretrained Language Models. Interspeech (2021)