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Dream 7B: Diffusion Large Language Models

Dream 7B: Diffusion Large Language Models

21 August 2025
Jiacheng Ye
Zhihui Xie
Lin Zheng
Lei Li
Zirui Wu
Xin Jiang
Zhenguo Li
Lingpeng Kong
    DiffMVLM
ArXiv (abs)PDFHTML

Papers citing "Dream 7B: Diffusion Large Language Models"

50 / 61 papers shown
Title
Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules
Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules
Amr Mohamed
Yang Zhang
Michalis Vazirgiannis
Guokan Shang
AI4CE
92
0
0
02 Dec 2025
From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models
Hengyu Fu
Baihe Huang
Virginia Adams
Charles Wang
Venkat Srinivasan
Jiantao Jiao
182
0
0
26 Nov 2025
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
Julianna Piskorz
Cristina Pinneri
Alvaro H.C. Correia
Motasem Alfarra
Risheek Garrepalli
Christos Louizos
DiffM
146
0
0
26 Nov 2025
Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models
Kecheng Chen
Ziru Liu
Xijia Tao
Hui Liu
Xinyu Fu
Suiyun Zhang
Dandan Tu
Lingpeng Kong
Rui Liu
Haoliang Li
DiffM
252
0
0
26 Nov 2025
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
Demystifying Diffusion Objectives: Reweighted Losses are Better Variational Bounds
Jiaxin Shi
Michalis K. Titsias
DiffM
214
0
0
24 Nov 2025
CDLM: Consistency Diffusion Language Models For Faster Sampling
CDLM: Consistency Diffusion Language Models For Faster Sampling
Minseo Kim
Chenfeng Xu
Coleman Hooper
Harman Singh
Ben Athiwaratkun
Ce Zhang
Kurt Keutzer
Amir Gholami
164
0
0
24 Nov 2025
Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
Linye Wei
Wenjue Chen
Pingzhi Tang
Xiaotian Guo
Le Ye
Runsheng Wang
Meng Li
AI4CE
65
0
0
24 Nov 2025
PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion
PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion
Yichen Yang
Hong Li
Haodong Zhu
L. Yang
Guojun Lei
Sheng Xu
Baochang Zhang
DiffM
88
0
0
24 Nov 2025
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
Mengni Jia
Mengyu Zhou
Yihao Liu
Xiaoxi Jiang
Guanjun Jiang
78
0
0
22 Nov 2025
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models
Duo Li
Zuhao Yang
Xiaoqin Zhang
Ling Shao
Shijian Lu
VLM
137
1
0
19 Nov 2025
Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone
Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone
Vaibhav Singh
Oleksiy Ostapenko
Pierre-Andre Noel
Torsten Scholak
MambaAI4CE
392
0
0
19 Nov 2025
Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones
Reasoning in Diffusion Large Language Models is Concentrated in Dynamic Confusion Zones
Ranfei Chen
Ming Chen
Kaifei Wang
DiffMAI4CELRM
165
0
0
19 Nov 2025
Diffusion Language Models are Super Data Learners
Diffusion Language Models are Super Data Learners
Jinjie Ni
Qian Liu
Longxu Dou
Chao Du
Zili Wang
Hang Yan
Tianyu Pang
Michael Shieh
AI4CE
133
9
0
05 Nov 2025
Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
Sanghyun Lee
Seungryong Kim
Jongho Park
D. Park
103
1
0
04 Nov 2025
StreetMath: Study of LLMs' Approximation Behaviors
StreetMath: Study of LLMs' Approximation Behaviors
Chiung-Yi Tseng
Somshubhra Roy
Maisha Thasin
Danyang Zhang
Blessing Effiong
LRM
100
1
0
27 Oct 2025
CANDI: Hybrid Discrete-Continuous Diffusion Models
CANDI: Hybrid Discrete-Continuous Diffusion Models
Patrick Pynadath
Jiaxin Shi
Ruqi Zhang
DiffM
159
1
0
26 Oct 2025
Aligning Diffusion Language Models via Unpaired Preference Optimization
Aligning Diffusion Language Models via Unpaired Preference Optimization
Vaibhav Jindal
Hejian Sang
Chun-Mao Lai
Yanning Chen
Zhipeng Wang
156
0
0
26 Oct 2025
No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models
No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models
Zachary Horvitz
Raghav Singhal
Hao Zou
Carles Domingo-Enrich
Zhou Yu
Rajesh Ranganath
Kathleen McKeown
LRM
133
0
0
22 Oct 2025
From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
Yatai Ji
Teng Wang
Yuying Ge
Zhiheng Liu
Sidi Yang
Y. Shan
Ping Luo
DiffMVLM
152
1
0
22 Oct 2025
Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model
Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model
Yihong Dong
Zhaoyu Ma
Xue Jiang
Zhiyuan Fan
Jiaru Qian
...
Rongyu Cao
B. Li
Fei Huang
Yongbin Li
Ge Li
112
3
0
20 Oct 2025
Soft-Masked Diffusion Language Models
Soft-Masked Diffusion Language Models
Michael Hersche
Samuel Moor-Smith
Thomas Hofmann
Abbas Rahimi
260
0
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
160
0
0
17 Oct 2025
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching
Run Luo
Xiaobo Xia
Lu Wang
Longze Chen
Renke Shan
Jing Luo
Min Yang
Tat-Seng Chua
VGen
224
4
0
15 Oct 2025
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States
Qinglin Zhu
Yizhen Yao
Runcong Zhao
Yanzheng Xiang
Amrutha Saseendran
Chen Jin
Philip Teare
Bin Liang
Yulan He
Lin Gui
DiffM
153
0
0
13 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
88
4
0
12 Oct 2025
Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models
Qiguang Chen
Hanjing Li
L. Qin
Dengyun Peng
Jinhao Liu
Jiangyi Wang
Chengyue Wu
Xie Chen
Yantao Du
Wanxiang Che
LRMAI4CE
137
1
0
10 Oct 2025
Closing the Data-Efficiency Gap Between Autoregressive and Masked Diffusion LLMs
Closing the Data-Efficiency Gap Between Autoregressive and Masked Diffusion LLMs
Xu Pan
Ely Hahami
Jingxuan Fan
Ziqian Xie
H. Sompolinsky
120
0
0
10 Oct 2025
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Y. Zhu
Wei Guo
Jaemoo Choi
Petr Molodyk
Bo Yuan
Molei Tao
Yongxin Chen
LRM
161
4
0
09 Oct 2025
Guided Star-Shaped Masked Diffusion
Guided Star-Shaped Masked Diffusion
Viacheslav Meshchaninov
Egor Shibaev
Artem Makoian
Ivan Klimov
Danil Sheshenya
A. Malinin
Nikita Balagansky
Daniil Gavrilov
Aibek Alanov
Dmitry Vetrov
DiffM
136
1
0
09 Oct 2025
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
Cai Zhou
Chenyu Wang
Dinghuai Zhang
Shangyuan Tong
Yifei Wang
Stephen Bates
Tommi Jaakkola
120
0
0
08 Oct 2025
AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMs
AudioMarathon: A Comprehensive Benchmark for Long-Context Audio Understanding and Efficiency in Audio LLMs
Peize He
Zichen Wen
Yubo Wang
Y. Wang
Xiaoqian Liu
...
Zhifei Liu
Weijia Li
C. Wang
Conghui He
Linfeng Zhang
AuLLM
167
3
0
08 Oct 2025
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
A Hierarchical Geometry-guided Transformer for Histological Subtyping of Primary Liver Cancer
Anwen Lu
Mingxin Liu
Yiping Jiao
Hongyi Gong
Geyang Xu
Jun Chen
Jun Xu
141
0
0
07 Oct 2025
Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
Jihoon Lee
Hoyeon Moon
Kevin Zhai
Arun Kumar Chithanar
Anit Kumar Sahu
S. Kar
Chul Lee
Souradip Chakraborty
Amrit Singh Bedi
DiffM
184
0
0
06 Oct 2025
Integrating Bayesian methods with neural network--based model predictive control: a review
Integrating Bayesian methods with neural network--based model predictive control: a review
Asli Karacelik
112
0
0
06 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
532
0
0
06 Oct 2025
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
Rainbow Padding: Mitigating Early Termination in Instruction-Tuned Diffusion LLMs
Bumjun Kim
Dongjae Jeon
Dueun Kim
Wonje Jeung
Albert No
121
0
0
04 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
137
4
0
03 Oct 2025
DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
Hanyang Zhao
Dawen Liang
Wenpin Tang
David Yao
Nathan Kallus
168
1
0
02 Oct 2025
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability
Shojiro Yamabe
Jun Sakuma
AAML
120
0
0
01 Oct 2025
Fast-dLLM v2: Efficient Block-Diffusion LLM
Fast-dLLM v2: Efficient Block-Diffusion LLM
Chengyue Wu
Hao Zhang
Shuchen Xue
Shizhe Diao
Y. Fu
Zhijian Liu
Pavlo Molchanov
Ping Luo
Song Han
Enze Xie
AI4CE
146
10
0
30 Sep 2025
Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
Shutong Wu
Jiawei Zhang
DiffM
275
1
0
30 Sep 2025
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
Shenxu Chang
Junchi Yu
Weixing Wang
Yongqiang Chen
Jialin Yu
Philip Torr
Jindong Gu
HILM
124
0
0
30 Sep 2025
DiffTester: Accelerating Unit Test Generation for Diffusion LLMs via Repetitive Pattern
DiffTester: Accelerating Unit Test Generation for Diffusion LLMs via Repetitive Pattern
Lekang Yang
Yuetong Liu
Yitong Zhang
Jia Li
164
1
0
29 Sep 2025
DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
Zherui Li
Zheng Nie
Zhenhong Zhou
Yufei Guo
Yue Liu
Y. Zhang
Yu Cheng
Qingsong Wen
Kun Wang
Jiaheng Zhang
AAML
127
0
0
29 Sep 2025
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
Wenrui Bao
Zhiben Chen
Dan Xu
Yuzhang Shang
164
0
0
29 Sep 2025
Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step
Jingyi Yang
Guanxu Chen
Xuhao Hu
Jing Shao
152
3
0
28 Sep 2025
Training Optimal Large Diffusion Language Models
Training Optimal Large Diffusion Language Models
Jinjie Ni
Qian Liu
Chao Du
Longxu Dou
Hang Yan
Zili Wang
Tianyu Pang
Michael Shieh
ALMAI4CE
230
8
0
28 Sep 2025
d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
d2^22Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
Yuchu Jiang
Yue Cai
Xiangzhong Luo
Jiale Fu
Jiarui Wang
Chonghan Liu
Xu Yang
84
6
0
27 Sep 2025
CoDA: Coding LM via Diffusion Adaptation
CoDA: Coding LM via Diffusion Adaptation
H. Chen
Shiyu Wang
Can Qin
B. Pang
Zuxin Liu
...
Shelby Heinecke
Silvio Savarese
Caiming Xiong
Huan Wang
Weiran Yao
DiffM
92
0
0
27 Sep 2025
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
Tianao Zhang
Zhiteng Li
Xianglong Yan
Haotong Qin
Yong Guo
Yulun Zhang
MQ
105
0
0
27 Sep 2025
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