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Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!
8 May 2023
Zecheng Tang
Pinzheng Wang
Keyan Zhou
Juntao Li
Ziqiang Cao
M. Zhang
DiffM
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Papers citing
"Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!"
4 / 4 papers shown
Title
Denoising MCMC for Accelerating Diffusion-Based Generative Models
Beomsu Kim
Jong Chul Ye
DiffM
38
13
0
29 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,296
0
02 Sep 2022
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
171
772
0
27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
202
394
0
10 Feb 2021
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