2025 "discrete diffusion models" Papers

17 papers found

Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models

Yuchen Liang, Renxiang Huang, Lifeng LAI et al.

NeurIPS 2025posterarXiv:2506.02318
4
citations

Beyond Autoregression: Fast LLMs via Self-Distillation Through Time

Justin Deschenaux, Caglar Gulcehre

ICLR 2025posterarXiv:2410.21035
25
citations

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis

Zikun Zhang, Zixiang Chen, Quanquan Gu

ICLR 2025posterarXiv:2410.02321
13
citations

Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees

Yuchen Liang, Yingbin Liang, Lifeng LAI et al.

NeurIPS 2025posterarXiv:2509.16756
1
citations

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

Marianne Arriola, Yair Schiff, Hao Phung et al.

NeurIPS 2025posterarXiv:2510.22852
1
citations

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms

Yinuo Ren, Haoxuan Chen, Yuchen Zhu et al.

NeurIPS 2025posterarXiv:2502.00234
29
citations

Information-Theoretic Discrete Diffusion

Moongyu Jeon, Sangwoo Shin, Dongjae Jeon et al.

NeurIPS 2025posterarXiv:2510.24088

Informed Correctors for Discrete Diffusion Models

Yixiu Zhao, Jiaxin Shi, Feng Chen et al.

NeurIPS 2025posterarXiv:2407.21243
31
citations

LaViDa: A Large Diffusion Model for Vision-Language Understanding

Shufan Li, Konstantinos Kallidromitis, Hritik Bansal et al.

NeurIPS 2025spotlight

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Cai Zhou, Chenyu Wang, Dinghuai Zhang et al.

NeurIPS 2025posterarXiv:2510.08632
3
citations

Reinforced Context Order Recovery for Adaptive Reasoning and Planning

Long Ma, Fangwei Zhong, Yizhou Wang

NeurIPS 2025posterarXiv:2508.13070
2
citations

Remasking Discrete Diffusion Models with Inference-Time Scaling

Guanghan Wang, Yair Schiff, Subham Sahoo et al.

NeurIPS 2025posterarXiv:2503.00307
74
citations

Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics

Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang et al.

ICLR 2025posterarXiv:2502.08696
14
citations

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff, Subham Sahoo, Hao Phung et al.

ICLR 2025posterarXiv:2412.10193
62
citations

Split Gibbs Discrete Diffusion Posterior Sampling

Wenda Chu, Zihui Wu, Yifan Chen et al.

NeurIPS 2025posterarXiv:2503.01161
6
citations

SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups

Yongxing Zhang, Donglin Yang, Renjie Liao

ICLR 2025posterarXiv:2410.02942
4
citations

Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion

Alan Amin, Nate Gruver, Andrew Wilson

NeurIPS 2025posterarXiv:2506.08316
8
citations