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DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

17 October 2022
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
ArXivPDFHTML

Papers citing "DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models"

50 / 64 papers shown
Title
Sparse-to-Sparse Training of Diffusion Models
Sparse-to-Sparse Training of Diffusion Models
Inês Cardoso Oliveira
Decebal Constantin Mocanu
Luis A. Leiva
DiffM
86
0
0
30 Apr 2025
Looking beyond the next token
Looking beyond the next token
Abitha Thankaraj
Yiding Jiang
J. Zico Kolter
Yonatan Bisk
LRM
57
1
0
15 Apr 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
74
29
0
13 Mar 2025
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models
Ruizhe Chen
Wenhao Chai
Zhifei Yang
Xiaotian Zhang
Qiufeng Wang
Tony Q. S. Quek
Soujanya Poria
Zuozhu Liu
50
0
0
06 Mar 2025
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
Large Language Diffusion Models
Large Language Diffusion Models
Shen Nie
Fengqi Zhu
Zebin You
Xiaolu Zhang
Jingyang Ou
Jun Hu
Jun Zhou
Yankai Lin
Ji-Rong Wen
Chongxuan Li
112
15
0
14 Feb 2025
An analysis of the noise schedule for score-based generative models
An analysis of the noise schedule for score-based generative models
SU StanislasStrasman
Antonio Ocello
Claire Boyer Lpsm
Sylvain Le Corff Lpsm
Vincent Lemaire
DiffM
100
4
0
28 Jan 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
Xiaodong Li
Hengzhu Tang
Jiawei Sheng
Xinghua Zhang
Li Gao
Suqi Cheng
Dawei Yin
Tingwen Liu
DiffM
71
1
0
20 Jan 2025
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao
Lisheng Wang
Luobing Huang
DiffM
47
0
0
20 Jan 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models
A General Framework for Inference-time Scaling and Steering of Diffusion Models
R. Singhal
Zachary Horvitz
Ryan Teehan
Mengye Ren
Zhou Yu
Kathleen McKeown
Rajesh Ranganath
DiffM
61
15
0
17 Jan 2025
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
Hao Wang
Hao Li
Junda Zhu
Xinyuan Wang
C. Pan
Minlie Huang
Lei Sha
142
0
0
23 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
H. Chen
Z. Wang
Xianrui Li
Xingchen Sun
Fangyi Chen
Jiang Liu
J. Wang
Bhiksha Raj
Zicheng Liu
Emad Barsoum
VLM
114
6
0
14 Dec 2024
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
H. Haresamudram
Chi Ian Tang
Sungho Suh
P. Lukowicz
Thomas Ploetz
76
2
0
11 Nov 2024
Dual Conditional Diffusion Models for Sequential Recommendation
Dual Conditional Diffusion Models for Sequential Recommendation
Hongtao Huang
Chengkai Huang
Xiaojun Chang
Wen Hu
Lina Yao
Julian McAuley
Lina Yao
DiffM
47
2
0
29 Oct 2024
Scaling up Masked Diffusion Models on Text
Scaling up Masked Diffusion Models on Text
Shen Nie
Fengqi Zhu
Chao Du
Tianyu Pang
Qian Liu
Guangtao Zeng
Min-Bin Lin
Chongxuan Li
AI4CE
50
13
0
24 Oct 2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
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
78
15
0
23 Oct 2024
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Jiacheng Ye
Jiahui Gao
Shansan Gong
Lin Zheng
Xin Jiang
Z. Li
Lingpeng Kong
DiffM
LRM
54
15
0
18 Oct 2024
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage
  Framework for Spatiotemporal Data Reconstruction
From Incomplete Coarse-Grained to Complete Fine-Grained: A Two-Stage Framework for Spatiotemporal Data Reconstruction
Ziyu Sun
Haoyang Su
E. Wang
Funing Yang
Yongjian Yang
Wenbin Liu
AI4TS
DiffM
31
0
0
05 Oct 2024
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for
  Empathetic Response Generation via a RL-Diffusion Framework
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
Jiahao Yuan
Zixiang Di
Zhiqing Cui
Guisong Yang
Usman Naseem
65
0
0
16 Sep 2024
Atlas Gaussians Diffusion for 3D Generation
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang
Yuan Dong
Hanwen Jiang
Dejia Xu
Georgios Pavlakos
Qixing Huang
3DGS
81
3
0
23 Aug 2024
Diffusion Guided Language Modeling
Diffusion Guided Language Modeling
Justin Lovelace
Varsha Kishore
Yiwei Chen
Kilian Q. Weinberger
41
6
0
08 Aug 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
Hao Liu
Junze Tony Ye
Ye
Jose H. Blanchet
DiffM
FedML
36
1
0
28 Jun 2024
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary
  Trajectories
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang
Yu-Xiong Wang
OnRL
42
1
0
06 Jun 2024
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Hunter Nisonoff
Junhao Xiong
Stephan Allenspach
Jennifer Listgarten
63
31
0
03 Jun 2024
Reliable Trajectory Prediction and Uncertainty Quantification with
  Conditioned Diffusion Models
Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models
Marion Neumeier
Sebastian Dorn
M. Botsch
Wolfgang Utschick
DiffM
43
3
0
23 May 2024
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion
Adeesh Kolluru
John R. Kitchin
DiffM
47
4
0
07 May 2024
The pitfalls of next-token prediction
The pitfalls of next-token prediction
Gregor Bachmann
Vaishnavh Nagarajan
37
62
0
11 Mar 2024
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
Xiaomeng Yang
Zhi Qiao
Yu Zhou
DiffM
62
1
0
19 Dec 2023
Diffusion-based Blind Text Image Super-Resolution
Diffusion-based Blind Text Image Super-Resolution
Yuzhe Zhang
Jiawei Zhang
Hao Li
Zhouxia Wang
Luwei Hou
Dongqing Zou
Liheng Bian
31
8
0
13 Dec 2023
Diffusion for Natural Image Matting
Diffusion for Natural Image Matting
Yihan Hu
Yiheng Lin
Wei Wang
Yao-Min Zhao
Yunchao Wei
Humphrey Shi
28
7
0
10 Dec 2023
DeepCache: Accelerating Diffusion Models for Free
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma
Gongfan Fang
Xinchao Wang
24
122
0
01 Dec 2023
A Systematic Review of Deep Learning-based Research on Radiology Report
  Generation
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
34
15
0
23 Nov 2023
InfoDiffusion: Information Entropy Aware Diffusion Process for
  Non-Autoregressive Text Generation
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation
Renzhi Wang
Jing Li
Piji Li
DiffM
35
2
0
18 Oct 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Xiaozhong Liu
78
31
0
27 Aug 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
54
14
0
23 Aug 2023
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition
  via deep generative models
From Unimodal to Multimodal: improving sEMG-Based Pattern Recognition via deep generative models
Wentao Wei
Linyan Ren
31
1
0
08 Aug 2023
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
XDLM: Cross-lingual Diffusion Language Model for Machine Translation
Linyao Chen
Aosong Feng
Boming Yang
Zihui Li
AI4CE
33
2
0
25 Jul 2023
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Yiwei Lyu
Tiange Luo
Jiacheng Shi
Todd C. Hollon
Ho Hin Lee
DiffM
35
3
0
31 May 2023
Likelihood-Based Diffusion Language Models
Likelihood-Based Diffusion Language Models
Ishaan Gulrajani
Tatsunori B. Hashimoto
DiffM
29
51
0
30 May 2023
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based
  Human Activity Recognition
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
Si Zuo
Vitor Fortes Rey
Sungho Suh
S. Sigg
P. Lukowicz
DiffM
27
4
0
30 May 2023
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based
  Diffusion on SE(3)
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
Tsu-Ching Hsiao
Haoming Chen
Hsuan-Kung Yang
Chun-Yi Lee
DiffM
23
7
0
25 May 2023
Extrapolating Multilingual Understanding Models as Multilingual
  Generators
Extrapolating Multilingual Understanding Models as Multilingual Generators
Bohong Wu
Fei Yuan
Hai Zhao
Lei Li
Jingjing Xu
AI4CE
25
2
0
22 May 2023
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text
  Diffusion
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion
Chao-Hong Tan
Jia-Chen Gu
Zhen-Hua Ling
DiffM
32
0
0
19 May 2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Rabeeh Karimi Mahabadi
Hamish Ivison
Jaesung Tae
James Henderson
Iz Beltagy
Matthew E. Peters
Arman Cohan
34
20
0
15 May 2023
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical
  Federated Learning
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning
Penghui Wei
Hongjian Dou
Shaoguo Liu
Rong Tang
Li Liu
Liangji Wang
Bo Zheng
FedML
24
12
0
15 May 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Jiaao Chen
Aston Zhang
Mu Li
Alexander J. Smola
Diyi Yang
DiffM
29
17
0
10 Apr 2023
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion
Sauradip Nag
Xiatian Zhu
Jiankang Deng
Yi-Zhe Song
Tao Xiang
DiffM
VGen
41
21
0
27 Mar 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
Peng Jin
Hao Li
Ze-Long Cheng
Kehan Li
Xiang Ji
Chang-rui Liu
Li-ming Yuan
Jie Chen
DiffM
VGen
28
54
0
17 Mar 2023
Unifying Layout Generation with a Decoupled Diffusion Model
Unifying Layout Generation with a Decoupled Diffusion Model
Mude Hui
Zhizheng Zhang
Xiaoyi Zhang
Wenxuan Xie
Yuwang Wang
Yan Lu
DiffM
18
39
0
09 Mar 2023
TRACT: Denoising Diffusion Models with Transitive Closure
  Time-Distillation
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
David Berthelot
Arnaud Autef
Jierui Lin
Dian Ang Yap
Shuangfei Zhai
Siyuan Hu
Daniel Zheng
Walter Talbot
Eric Gu
DiffM
28
80
0
07 Mar 2023
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