ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.07524
  4. Cited By
Simple and Effective Masked Diffusion Language Models

Simple and Effective Masked Diffusion Language Models

11 June 2024
S. Sahoo
Marianne Arriola
Yair Schiff
Aaron Gokaslan
Edgar Marroquin
Justin T Chiu
Alexander M. Rush
Volodymyr Kuleshov
    DiffM
ArXivPDFHTML

Papers citing "Simple and Effective Masked Diffusion Language Models"

26 / 26 papers shown
Title
Guide your favorite protein sequence generative model
Guide your favorite protein sequence generative model
Junhao Xiong
Hunter Nisonoff
Ishan Gaur
Jennifer Listgarten
DiffM
48
0
0
07 May 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
S. Sahoo
Volodymyr Kuleshov
DiffM
62
3
0
12 Mar 2025
Preference-Based Alignment of Discrete Diffusion Models
Preference-Based Alignment of Discrete Diffusion Models
Umberto Borso
Davide Paglieri
Jude Wells
Tim Rocktaschel
57
1
0
11 Mar 2025
Effective and Efficient Masked Image Generation Models
Effective and Efficient Masked Image Generation Models
Zebin You
Jingyang Ou
Xiaolu Zhang
Jun Hu
Jun Zhou
Chongxuan Li
DiffM
VLM
54
1
0
10 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song
Linqi Zhou
DiffM
57
0
0
10 Mar 2025
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng
Yongxin Chen
Huayu Chen
Guande He
Ming-Yu Liu
J. Zhu
Qinsheng Zhang
DiffM
47
0
0
03 Mar 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
90
12
0
14 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi
Kehang Han
Z. Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
74
61
0
17 Jan 2025
Posterior Mean Matching: Generative Modeling through Online Bayesian
  Inference
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
Sebastian Salazar
Michal Kucer
Yixin Wang
Emily Casleton
David Blei
DiffM
81
0
0
17 Dec 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
Shufan Li
Konstantinos Kallidromitis
Akash Gokul
Zichun Liao
Yusuke Kato
Kazuki Kozuka
Aditya Grover
VGen
90
5
0
02 Dec 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux
Çağlar Gülçehre
39
2
0
28 Oct 2024
Structure Language Models for Protein Conformation Generation
Structure Language Models for Protein Conformation Generation
Jiarui Lu
Xiaoyin Chen
Stephen Zhewen Lu
Chence Shi
Hongyu Guo
Yoshua Bengio
J. Tang
DiffM
27
2
0
24 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
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
48
8
0
17 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations
Distillation of Discrete Diffusion through Dimensional Correlations
Satoshi Hayakawa
Yuhta Takida
Masaaki Imaizumi
Hiromi Wakaki
Yuki Mitsufuji
DiffM
56
0
0
11 Oct 2024
Think While You Generate: Discrete Diffusion with Planned Denoising
Think While You Generate: Discrete Diffusion with Planned Denoising
Sulin Liu
Juno Nam
Andrew Campbell
Hannes Stärk
Yilun Xu
Tommi Jaakkola
Rafael Gómez-Bombarelli
DiffM
33
6
0
08 Oct 2024
Discrete Copula Diffusion
Discrete Copula Diffusion
Anji Liu
Oliver Broadrick
Mathias Niepert
Guy Van den Broeck
DiffM
52
4
0
02 Oct 2024
Informed Correctors for Discrete Diffusion Models
Informed Correctors for Discrete Diffusion Models
Yixiu Zhao
Jiaxin Shi
Lester W. Mackey
Scott W. Linderman
Lester Mackey
Scott Linderman
37
9
0
30 Jul 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
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
25
1
0
05 Jan 2024
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
48
14
0
23 Aug 2023
A Continuous Time Framework for Discrete Denoising Models
A Continuous Time Framework for Discrete Denoising Models
Andrew Campbell
Joe Benton
Valentin De Bortoli
Tom Rainforth
George Deligiannidis
Arnaud Doucet
DiffM
175
132
0
30 May 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
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
237
690
0
27 Aug 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
1