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TESS: Text-to-Text Self-Conditioned Simplex Diffusion

TESS: Text-to-Text Self-Conditioned Simplex Diffusion

15 May 2023
Rabeeh Karimi Mahabadi
Hamish Ivison
Jaesung Tae
James Henderson
Iz Beltagy
Matthew E. Peters
Arman Cohan
ArXivPDFHTML

Papers citing "TESS: Text-to-Text Self-Conditioned Simplex Diffusion"

20 / 20 papers shown
Title
$α$-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
ααα-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models
Chaoran Cheng
Jiahan Li
Jiajun Fan
Ge Liu
26
0
0
14 Apr 2025
Generative Diffusion Models for Sequential Recommendations
Generative Diffusion Models for Sequential Recommendations
Sharare Zolghadr
Ole Winther
Paul Jeha
DiffM
17
0
0
25 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
40
13
0
24 Oct 2024
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Glauber Generative Model: Discrete Diffusion Models via Binary Classification
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
62
2
0
27 May 2024
Categorical Flow Matching on Statistical Manifolds
Categorical Flow Matching on Statistical Manifolds
Chaoran Cheng
Jiahan Li
Jian-wei Peng
Ge Liu
53
10
0
26 May 2024
Fisher Flow Matching for Generative Modeling over Discrete Data
Fisher Flow Matching for Generative Modeling over Discrete Data
Oscar Davis
Samuel Kessler
Mircea Petrache
.Ismail .Ilkan Ceylan
Michael M. Bronstein
A. Bose
33
16
0
23 May 2024
SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion
  with Vocabulary Priors
SYMPLEX: Controllable Symbolic Music Generation using Simplex Diffusion with Vocabulary Priors
Nicolas Jonason
Luca Casini
Bob L. T. Sturm
34
0
0
21 May 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic
  Differential Equations
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations
Kaiwen Xue
Yuhao Zhou
Shen Nie
Xu Min
Xiaolu Zhang
Jun Zhou
Chongxuan Li
DiffM
26
11
0
24 Apr 2024
P^3SUM: Preserving Author's Perspective in News Summarization with
  Diffusion Language Models
P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models
Yuhan Liu
Shangbin Feng
Xiaochuang Han
Vidhisha Balachandran
Chan Young Park
Sachin Kumar
Yulia Tsvetkov
DiffM
25
2
0
16 Nov 2023
Discrete Diffusion Modeling by Estimating the Ratios of the Data
  Distribution
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
Aaron Lou
Chenlin Meng
Stefano Ermon
DiffM
11
62
0
25 Oct 2023
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for
  Accelerated Seq2Seq Diffusion Models
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
22
19
0
09 Oct 2023
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style
  Transfer
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
Zachary Horvitz
Ajay Patel
Chris Callison-Burch
Zhou Yu
Kathleen McKeown
DiffM
21
12
0
29 Aug 2023
Bayesian Flow Networks
Bayesian Flow Networks
Alex Graves
R. Srivastava
Timothy James Atkinson
Faustino J. Gomez
BDL
20
41
0
14 Aug 2023
David helps Goliath: Inference-Time Collaboration Between Small
  Specialized and Large General Diffusion LMs
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
Marjan Ghazvininejad
DiffM
22
3
0
24 May 2023
A Reparameterized Discrete Diffusion Model for Text Generation
A Reparameterized Discrete Diffusion Model for Text Generation
Lin Zheng
Jianbo Yuan
Lei Yu
Lingpeng Kong
DiffM
18
57
0
11 Feb 2023
DiffusER: Discrete Diffusion via Edit-based Reconstruction
DiffusER: Discrete Diffusion via Edit-based Reconstruction
Machel Reid
Vincent J. Hellendoorn
Graham Neubig
DiffM
43
39
0
30 Oct 2022
Diffusion-LM Improves Controllable Text Generation
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
Argmax Flows and Multinomial Diffusion: Learning Categorical
  Distributions
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
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,504
0
10 Jun 2015
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