Diffusion Models for Non-autoregressive Text Generation: A Survey

12 March 2023

Papers citing "Diffusion Models for Non-autoregressive Text Generation: A Survey"

5 / 5 papers shown

Title
Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong Shivam Agarwal Yizhe Zhang Jiacheng Ye Lin Zheng ... Peilin Zhao W. Bi Jiawei Han Hao Peng Lingpeng Kong AI4CE 57 14 0 23 Oct 2024
Diffusion Augmentation for Sequential Recommendation Qidong Liu Fan Yan Xiangyu Zhao Zhaochen Du Huifeng Guo Ruiming Tang Feng Tian 11 36 0 22 Sep 2023
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 199 392 0 10 Feb 2021
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents Ramesh Nallapati Feifei Zhai Bowen Zhou 194 1,249 0 14 Nov 2016