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Likelihood-Based Diffusion Language Models

Likelihood-Based Diffusion Language Models

Neural Information Processing Systems (NeurIPS), 2023
30 May 2023
Ishaan Gulrajani
Tatsunori B. Hashimoto
    DiffM
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "Likelihood-Based Diffusion Language Models"

50 / 71 papers shown
dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning
dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning
Yingzi Ma
Yulong Cao
Wenhao Ding
Shuibai Zhang
Yan Wang
Boris Ivanovic
Ming Jiang
Marco Pavone
Chaowei Xiao
VLMLRM
188
2
0
04 Dec 2025
WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
WavefrontDiffusion: Dynamic Decoding Schedule for Improved Reasoning
Haojin Yang
Rui Hu
Zequn Sun
Rui Zhou
Yujun Cai
Yiwei Wang
DiffM
79
0
0
22 Nov 2025
CANDI: Hybrid Discrete-Continuous Diffusion Models
CANDI: Hybrid Discrete-Continuous Diffusion Models
Patrick Pynadath
Jiaxin Shi
Ruqi Zhang
DiffM
180
3
0
26 Oct 2025
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
Marianne Arriola
Yair Schiff
Hao Phung
Aaron Gokaslan
Volodymyr Kuleshov
140
1
0
26 Oct 2025
Soft-Masked Diffusion Language Models
Soft-Masked Diffusion Language Models
Michael Hersche
Samuel Moor-Smith
Thomas Hofmann
Abbas Rahimi
308
1
0
20 Oct 2025
Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning
Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning
Lina Berrayana
Ahmed Heakl
Muhammad Abdullah Sohail
Thomas Hofmann
Salman Khan
Wei Chen
176
0
0
17 Oct 2025
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
UltraLLaDA: Scaling the Context Length to 128K for Diffusion Large Language Models
Guangxin He
Shen Nie
Fengqi Zhu
Yuankang Zhao
Tianyi Bai
Ran Yan
Jie Fu
Chongxuan Li
Binhang Yuan
103
6
0
12 Oct 2025
Membership Inference Attacks on Tokenizers of Large Language Models
Membership Inference Attacks on Tokenizers of Large Language Models
Meng Tong
Yuntao Du
Kejiang Chen
Weiming Zhang
MIALM
395
0
0
07 Oct 2025
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang
Y. Zhang
Nikki Lijing Kuang
Nicklas Majamaki
Navdeep Jaitly
Yi-An Ma
Lianhui Qin
LRM
586
2
0
06 Oct 2025
Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models
Finish First, Perfect Later: Test-Time Token-Level Cross-Validation for Diffusion Large Language Models
Runchu Tian
Junxia Cui
Xueqiang Xu
Feng Yao
Jingbo Shang
151
1
0
06 Oct 2025
Self Speculative Decoding for Diffusion Large Language Models
Self Speculative Decoding for Diffusion Large Language Models
Yifeng Gao
Ziang Ji
Y. Wang
Biqing Qi
Hanlin Xu
Linfeng Zhang
DiffMLRM
310
4
0
05 Oct 2025
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
Cai Zhou
Chenxiao Yang
Yi Hu
Chenyu Wang
Chubin Zhang
Muhan Zhang
Lester Mackey
Tommi Jaakkola
Stephen Bates
Dinghuai Zhang
152
4
0
03 Oct 2025
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
Huangjie Zheng
Shansan Gong
Ruixiang Zhang
Tianrong Chen
Jiatao Gu
Mingyuan Zhou
Navdeep Jaitly
Y. Zhang
DiffM
279
6
0
01 Oct 2025
MARCOS: Deep Thinking by Markov Chain of Continuous Thoughts
MARCOS: Deep Thinking by Markov Chain of Continuous Thoughts
Jiayu Liu
Zhenya Huang
Anya Sims
Tong Xu
Yee Whye Teh
Ning Miao
OffRLBDLLRM
141
1
0
29 Sep 2025
LLaDA-MoE: A Sparse MoE Diffusion Language Model
LLaDA-MoE: A Sparse MoE Diffusion Language Model
Fengqi Zhu
Zebin You
Yipeng Xing
Zenan Huang
Lin Liu
...
Junbo Zhao
Da Zheng
Chongxuan Li
Jianguo Li
J. Wen
MoE
236
12
0
29 Sep 2025
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance
Tianlang Chen
Minkai Xu
Jure Leskovec
Stefano Ermon
LRMAI4CE
146
2
0
29 Sep 2025
Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification
Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification
Tian Lan
Yiming Zheng
Jianxin Yin
152
0
0
19 Sep 2025
Dream-Coder 7B: An Open Diffusion Language Model for Code
Dream-Coder 7B: An Open Diffusion Language Model for Code
Zhihui Xie
Jiacheng Ye
Lin Zheng
Lei Li
Jingwei Dong
...
Xueliang Zhao
Shansan Gong
Xin Jiang
Zhenguo Li
Lingpeng Kong
DiffM
132
20
0
01 Sep 2025
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
Yuxuan Song
Zhe Zhang
Yu Pei
Jingjing Gong
Qiying Yu
Zheng Zhang
Mingxuan Wang
Hao Zhou
Jingjing Liu
Wei-Ying Ma
BDL
121
1
0
24 Aug 2025
Dream 7B: Diffusion Large Language Models
Dream 7B: Diffusion Large Language Models
Jiacheng Ye
Zhihui Xie
Lin Zheng
Lei Li
Zirui Wu
Xin Jiang
Zhenguo Li
Lingpeng Kong
DiffMVLM
1.0K
110
0
21 Aug 2025
A Survey on Diffusion Language Models
A Survey on Diffusion Language Models
Tianyi Li
Mingda Chen
Bowei Guo
Zhiqiang Shen
282
28
0
14 Aug 2025
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models
Wen Wang
Bozhen Fang
Chenchen Jing
Yongliang Shen
Yangyi Shen
Qiuyu Wang
Hao Ouyang
Hao Chen
Chunhua Shen
DiffMAI4CE
207
15
0
12 Aug 2025
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Yuxuan Song
Zheng Zhang
Cheng-hsin Luo
Pengyang Gao
Fan Xia
...
Jingjing Liu
Wei-Ying Ma
Y. Zhang
Yonghui Wu
Hao Zhou
VLM
163
66
0
04 Aug 2025
Diffusion Beats Autoregressive in Data-Constrained Settings
Diffusion Beats Autoregressive in Data-Constrained Settings
Mihir Prabhudesai
Menging Wu
Amir Zadeh
Katerina Fragkiadaki
Deepak Pathak
DiffM
331
20
0
21 Jul 2025
The Serial Scaling Hypothesis
The Serial Scaling Hypothesis
Yuxi Liu
Konpat Preechakul
Kananart Kuwaranancharoen
Yutong Bai
LRM
196
3
0
16 Jul 2025
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Discrete Diffusion in Large Language and Multimodal Models: A Survey
Runpeng Yu
Qi Li
Xinchao Wang
DiffMAI4CE
519
24
0
16 Jun 2025
The Diffusion Duality
The Diffusion Duality
Subham S. Sahoo
Justin Deschenaux
Aaron Gokaslan
Guanghan Wang
Justin T Chiu
Volodymyr Kuleshov
DiffM
396
32
0
12 Jun 2025
DLM-One: Diffusion Language Models for One-Step Sequence Generation
DLM-One: Diffusion Language Models for One-Step Sequence Generation
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
190
7
0
30 May 2025
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
Jin Wang
Yao Lai
Aoxue Li
Shifeng Zhang
Jiacheng Sun
Ning Kang
Chengyue Wu
Zhenguo Li
Ping Luo
383
19
0
26 May 2025
Anchored Diffusion Language Model
Anchored Diffusion Language Model
Litu Rout
Constantine Caramanis
Sanjay Shakkottai
362
4
0
24 May 2025
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking
Chen-Hao Chao
Wei-Fang Sun
Hanwen Liang
Chun-Yi Lee
Rahul G. Krishnan
DiffM
741
7
0
24 May 2025
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
Zemin Huang
Zhiyang Chen
Zijun Wang
Tiancheng Li
Guo-Jun Qi
DiffMLRMAI4CE
398
27
0
15 May 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
Ruixiang Zhang
Shuangfei Zhai
Yizhe Zhang
James Thornton
Zijing Ou
Joshua M. Susskind
Navdeep Jaitly
DiffM
260
17
0
23 Apr 2025
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
Siyan Zhao
Devaansh Gupta
Qinqing Zheng
Aditya Grover
DiffMLRMAI4CE
459
71
0
16 Apr 2025
Language Models Are Implicitly Continuous
Language Models Are Implicitly ContinuousInternational Conference on Learning Representations (ICLR), 2025
Samuele Marro
Davide Evangelista
X. A. Huang
Emanuele La Malfa
M. Lombardi
Michael Wooldridge
316
3
0
04 Apr 2025
Unified Multimodal Discrete Diffusion
Unified Multimodal Discrete Diffusion
Alexander Swerdlow
Mihir Prabhudesai
Siddharth Gandhi
Deepak Pathak
Katerina Fragkiadaki
DiffM
331
23
0
26 Mar 2025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language ModelsInternational Conference on Learning Representations (ICLR), 2025
Marianne Arriola
Aaron Gokaslan
Justin T Chiu
Zhihan Yang
Zhixuan Qi
Jiaqi Han
Subham Sekhar Sahoo
Volodymyr Kuleshov
DiffM
635
142
0
12 Mar 2025
Generalized Interpolating Discrete Diffusion
Generalized Interpolating Discrete Diffusion
Dimitri von Rutte
J. Fluri
Yuhui Ding
Antonio Orvieto
Bernhard Scholkopf
Thomas Hofmann
DiffM
401
22
0
06 Mar 2025
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models
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
537
3
0
06 Mar 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
Zhong Li
Qi Huang
Lincen Yang
Jiayang Shi
Zhao Yang
Niki van Stein
Thomas Bäck
M. Leeuwen
DiffM
306
7
0
24 Feb 2025
Continuous Diffusion Model for Language Modeling
Continuous Diffusion Model for Language Modeling
Jaehyeong Jo
Sung Ju Hwang
209
3
0
17 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
1.0K
314
0
14 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model
Theoretical Benefit and Limitation of Diffusion Language Model
Guhao Feng
Yihan Geng
Jian Guan
Wei Wu
Liwei Wang
Di He
DiffM
374
1
0
13 Feb 2025
Tractable Transformers for Flexible Conditional Generation
Tractable Transformers for Flexible Conditional Generation
Hoang Trung-Dung
Xuejie Liu
Dayuan Zhao
Mathias Niepert
Yitao Liang
Karen Ullrich
337
0
0
11 Feb 2025
Enabling Autoregressive Models to Fill In Masked Tokens
Enabling Autoregressive Models to Fill In Masked Tokens
Daniel Israel
Aditya Grover
Karen Ullrich
AI4CE
359
6
0
09 Feb 2025
Simplified and Generalized Masked Diffusion for Discrete Data
Simplified and Generalized Masked Diffusion for Discrete DataNeural Information Processing Systems (NeurIPS), 2024
Jiaxin Shi
Kehang Han
Zehao Wang
Arnaud Doucet
Michalis K. Titsias
DiffM
607
286
0
17 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
571
100
0
12 Jan 2025
Can Generative AI Solve Your In-Context Learning Problem? A Martingale
  Perspective
Can Generative AI Solve Your In-Context Learning Problem? A Martingale PerspectiveInternational Conference on Learning Representations (ICLR), 2024
Andrew Jesson
Nicolas Beltran-Velez
David M. Blei
OOD
301
1
0
08 Dec 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
Discrete Modeling via Boundary Conditional Diffusion ProcessesNeural Information Processing Systems (NeurIPS), 2024
Yuxuan Gu
Xiaocheng Feng
Lei Huang
Yingsheng Wu
Zekun Zhou
Weihong Zhong
Kun Zhu
Bing Qin
DiffM
216
0
0
29 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Beyond Autoregression: Fast LLMs via Self-Distillation Through TimeInternational Conference on Learning Representations (ICLR), 2024
Justin Deschenaux
Çağlar Gülçehre
484
25
0
28 Oct 2024
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