Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang. Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 11359-11386, Association for Computational Linguistics, 2023. [doi]
@inproceedings{TangWZLCZ23,
title = {Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !},
author = {Zecheng Tang and Pinzheng Wang and Keyan Zhou and Juntao Li and Ziqiang Cao and Min Zhang},
year = {2023},
url = {https://aclanthology.org/2023.findings-acl.721},
researchr = {https://researchr.org/publication/TangWZLCZ23},
cites = {0},
citedby = {0},
pages = {11359-11386},
booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-62-3},
}