Diffusion Models in NLP: A Survey

14 March 2023

Papers citing "Diffusion Models in NLP: A Survey"

8 / 8 papers shown

Title
Data Augmentation via Latent Diffusion for Saliency Prediction Bahar Aydemir Deblina Bhattacharjee Tong Zhang Mathieu Salzmann Sabine Süsstrunk 18 1 0 11 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 38 14 0 06 Aug 2024
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion Haopeng Zhang Xiao Liu Jiawei Zhang DiffM 60 40 0 02 May 2023
Semantic Image Synthesis via Diffusion Models Weilun Wang Weilun Wang Wen-gang Zhou Dongdong Chen Dong Chen Lu Yuan Houqiang Li DiffM 209 175 0 30 Jun 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 166 768 0 27 May 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 508 0 06 Dec 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 202 392 0 10 Feb 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 235 1,444 0 18 Mar 2020