Chenguang Zhu

According to our database, Chenguang Zhu authored at least 84 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Knowledge-augmented Methods for Natural Language Processing

Meng Jiang, Bill Yuchen Lin, Shuohang Wang, Yichong Xu, Wenhao Yu, Chenguang Zhu

Springer Briefs in Computer Science, Springer, ISBN: 978-981-97-0749-2, 2024

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng

CoRR, 2023

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu

CoRR, 2023

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

Knowledge-Augmented Methods for Natural Language Processing.

Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.

Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.

Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-Context Demonstration Selection with Cross Entropy Difference.

Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles.

Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying Vision, Text, and Layout for Universal Document Processing.

Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning.

Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

i-Code: An Integrative and Composable Multimodal Learning Framework.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Survey of Knowledge-enhanced Text Generation.

Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

ACM Comput. Surv., January, 2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.

Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang

CoRR, 2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering.

Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

CoRR, 2022

MACSum: Controllable Summarization with Mixed Attributes.

Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

CoRR, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.

Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han

CoRR, 2022

FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training.

Junyi Chai, Reid Pryzant, Victor Ye Dong, Konstantin Golobokov, Chenguang Zhu, Yi Liu

CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.

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

CoRR, 2022

Impossible Triangle: What's Next for Pre-trained Language Models?

Chenguang Zhu, Michael Zeng

CoRR, 2022

Unsupervised Summarization with Customized Granularities.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

CoRR, 2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering.

Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unsupervised Multi-Granularity Summarization.

Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Unified Encoder-Decoder Framework with Entity Memory.

Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Narrate Dialogues for Better Summarization.

Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation.

Shuohang Wang, Ruochen Xu, Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automatic Rule Induction for Efficient Semi-Supervised Learning.

Reid Pryzant, Ziyi Yang, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.

Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.

Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Task Compass: Scaling Multi-task Pre-training with Task Prefix.

Zhuosheng Zhang, Shuohang Wang, Yichong Xu, Yuwei Fang, Wenhao Yu, Yang Liu, Hai Zhao, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AdaPrompt: Adaptive Model Training for Prompt-based NLP.

Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CLIP-Event: Connecting Text and Images with Event Structures.

Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical Study of Training End-to-End Vision-and-Language Transformers.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering.

Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data.

Shuohang Wang, Yichong Xu, Yuwei Fang, Yang Liu, Siqi Sun, Ruochen Xu, Chenguang Zhu, Michael Zeng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

End-to-End Segmentation-based News Summarization.

Yang Liu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer.

Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Leveraging Knowledge in Multilingual Commonsense Reasoning.

Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.

Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dict-BERT: Enhancing Language Model Pre-training with Dictionary.

Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.

Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

JAKET: Joint Pre-training of Knowledge Graph and Language Understanding.

Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MLP Architectures for Vision-and-Language Modeling: An Empirical Study.

Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang

CoRR, 2021

Does Knowledge Help General NLU? An Empirical Study.

Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng

CoRR, 2021

Leveraging Lead Bias for Zero-shot Abstractive News Summarization.

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization.

Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enhancing Factual Consistency of Abstractive Summarization.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding.

Yu-An Chung, Chenguang Zhu, Michael Zeng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Data Augmentation for Spoken Language Understanding via Pretrained Language Models.

Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Sentence-Permuted Paragraph Generation.

Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Want To Reduce Labeling Cost? GPT-3 Can Help.

Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Injecting Entity Types into Entity-Guided Text Generation.

Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Fusing Context Into Knowledge Graph for Commonsense Question Answering.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Retrieval Enhanced Model for Commonsense Generation.

Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Fusing Context Into Knowledge Graph for Commonsense Reasoning.

Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang

CoRR, 2020

Semi-Supervised Speech-Language Joint Pre-Training for Spoken Language Understanding.

Yu-An Chung, Chenguang Zhu, Michael Zeng

CoRR, 2020

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization.

Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang

CoRR, 2020

Meta Dialogue Policy Learning.

Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng

CoRR, 2020

Data Augmentation for Spoken Language Understanding via Pretrained Models.

Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao

CoRR, 2020

End-to-End Abstractive Summarization for Meetings.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

CoRR, 2020

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.

Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang

CoRR, 2020

Mixed-Lingual Pre-training for Cross-lingual Summarization.

Ruochen Xu, Chenguang Zhu, Yu Shi, Michael Zeng, Xuedong Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining.

Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.

Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Few-shot Natural Language Generation for Task-Oriented Dialog.

Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization.

Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang

CoRR, 2019

SIM: A Slot-Independent Neural Model for Dialogue State Tracking.

Chenguang Zhu, Michael Zeng, Xuedong Huang

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue.

Chenguang Zhu, Michael Zeng, Xuedong Huang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Embedding Imputation with Grounded Language Information.

Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering.

Chenguang Zhu, Michael Zeng, Xuedong Huang

CoRR, 2018

2017

Reducing inefficiencies in taxi systems.

Chenguang Zhu, Balaji Prabhakar

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2015

Analysis and modeling of large-scale systems : taxis and social polling.

Chenguang Zhu

PhD thesis, 2015

Polling one's friends: A graph theoretic view.

Chenguang Zhu, Hossein Karkeh Abadi, Balaji Prabhakar

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2012

Information diffusion and external influence in networks.

Seth A. Myers, Chenguang Zhu, Jure Leskovec

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012