Chenguang Zhu
Chenguang Zhu
Head of Zoom GenAI Science
Verified email at - Homepage
Cited by
Cited by
Information diffusion and external influence in networks
SA Myers, C Zhu, J Leskovec
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu
arXiv preprint arXiv:2303.16634, 2023
An empirical study of training end-to-end vision-and-language transformers
ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
A survey of knowledge-enhanced text generation
W Yu, C Zhu, Z Li, Z Hu, Q Wang, H Ji, M Jiang
ACM Computing Surveys 54 (11s), 1-38, 2022
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
HY Huang, C Zhu, Y Shen, W Chen
Sixth International Conference on Learning Representations (ICLR), Vancouver …, 2018
Few-shot natural language generation for task-oriented dialog
B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao
Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020
Enhancing Factual Consistency of Abstractive Summarization
C Zhu, W Hinthorn, R Xu, Q Zeng, M Zeng, X Huang, M Jiang
North American Chapter of the Association for Computational Linguistics …, 2020
Generate rather than retrieve: Large language models are strong context generators
W Yu, D Iter, S Wang, Y Xu, M Ju, S Sanyal, C Zhu, M Zeng, M Jiang
arXiv preprint arXiv:2209.10063, 2022
Want to reduce labeling cost? GPT-3 can help
S Wang, Y Liu, Y Xu, C Zhu, M Zeng
arXiv preprint arXiv:2108.13487, 2021
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
C Zhu, R Xu, M Zeng, X Huang
Empirical Methods in Natural Language Processing (EMNLP) 2020 Findings, 2020
Towards a unified multi-dimensional evaluator for text generation
M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han
arXiv preprint arXiv:2210.07197, 2022
Jaket: Joint pre-training of knowledge graph and language understanding
D Yu, C Zhu, Y Yang, M Zeng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11630 …, 2022
SDNet: Contextualized attention-based deep network for conversational question answering
C Zhu, M Zeng, X Huang
arXiv preprint arXiv:1812.03593, 2018
A novel click model and its applications to online advertising
ZA Zhu, W Chen, T Minka, C Zhu, Z Chen
Proceedings of the third ACM international conference on Web search and data …, 2010
Automatic prompt optimization with" gradient descent" and beam search
R Pryzant, D Iter, J Li, YT Lee, C Zhu, M Zeng
arXiv preprint arXiv:2305.03495, 2023
MediaSum: A large-scale media interview dataset for dialogue summarization
C Zhu, Y Liu, J Mei, M Zeng
arXiv preprint arXiv:2103.06410, 2021
Clip-event: Connecting text and images with event structures
M Li, R Xu, S Wang, L Zhou, X Lin, C Zhu, M Zeng, H Ji, SF Chang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Dialoglm: Pre-trained model for long dialogue understanding and summarization
M Zhong, Y Liu, Y Xu, C Zhu, M Zeng
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11765 …, 2022
P-packSVM: Parallel primal gradient descent kernel SVM
AZ Zeyuan, C Weizhu, W Gang, Z Chenguang, C Zheng
2009 Ninth IEEE International Conference on Data Mining, 677-686, 2009
Language models with image descriptors are strong few-shot video-language learners
Z Wang, M Li, R Xu, L Zhou, J Lei, X Lin, S Wang, Z Yang, C Zhu, ...
Advances in Neural Information Processing Systems 35, 8483-8497, 2022
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