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2305.08379
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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
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Papers citing
"TESS: Text-to-Text Self-Conditioned Simplex Diffusion"
20 / 20 papers shown
Title
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-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
Sharare Zolghadr
Ole Winther
Paul Jeha
DiffM
17
0
0
25 Oct 2024
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
Harshit Varma
Dheeraj M. Nagaraj
Karthikeyan Shanmugam
VLM
62
2
0
27 May 2024
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
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
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
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
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
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
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
Zachary Horvitz
Ajay Patel
Chris Callison-Burch
Zhou Yu
Kathleen McKeown
DiffM
21
12
0
29 Aug 2023
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
Xiaochuang Han
Sachin Kumar
Yulia Tsvetkov
Marjan Ghazvininejad
DiffM
22
3
0
24 May 2023
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
Machel Reid
Vincent J. Hellendoorn
Graham Neubig
DiffM
43
39
0
30 Oct 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
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
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
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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