Cover Image

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Yuxuan, Zhang, Zheng, Luo, Cheng, Gao, Pengyang, Xia, Fan, Luo, Hao, Li, Zheng, Yang, Yuehang, Yu, Hongli, Qu, Xingwei, Fu, Yuwei, Su, Jing, Zhang, Ge, Huang, Wenhao, Wang, Mingxuan, Yan, Lin, Jia, Xiaoying, Liu, Jingjing, Ma, Wei-Ying, Zhang, Ya-Qin, Wu, Yonghui, Zhou, Hao
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
by: Song, Yuxuan, et al.
Published: (2025)

Directly Denoising Diffusion Models
by: Zhang, Dan, et al.
Published: (2024)

Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models
by: Wang, Jingjing, et al.
Published: (2024)

S2DM: Sector-Shaped Diffusion Models for Video Generation
by: Lang, Haoran, et al.
Published: (2024)

Safety-Critical Control with Uncertainty Quantification using Adaptive Conformal Prediction
by: Zhou, Hao, et al.
Published: (2024)

Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction
by: Zhou, Hao, et al.
Published: (2025)

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction
by: Zhang, Yuxuan, et al.
Published: (2025)

Solitary wave solutions of the delayed KP-BBM equation
by: Xia, Yonghui, et al.
Published: (2024)

Computer-Aided Design Generation by Cascaded Discrete Diffusion Model
by: Pan, Honghu, et al.
Published: (2026)

DAWN: Dependency-Aware Fast Inference for Diffusion LLMs
by: Luo, Lizhuo, et al.
Published: (2026)

IP-Adapter Is All You Need: Towards Fine-Tuning-Free Diffusion-Based Talking Face Generation
by: Wu, Hao, et al.
Published: (2026)

Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference
by: Zhang, XiuYu, et al.
Published: (2024)

ToMA: Token Merge with Attention for Diffusion Models
by: Lu, Wenbo, et al.
Published: (2025)

Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2025)

Stable-Hair: Real-World Hair Transfer via Diffusion Model
by: Zhang, Yuxuan, et al.
Published: (2024)

scDiffusion: conditional generation of high-quality single-cell data using diffusion model
by: Luo, Erpai, et al.
Published: (2024)

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
by: Xu, Tongda, et al.
Published: (2025)

MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
by: Zheng, Tianyu, et al.
Published: (2024)

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks
by: Song, Yuxuan, et al.
Published: (2024)

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
by: Yu, Hongli, et al.
Published: (2025)

Recent Advances in Artificial Anion Channels and Their Selectivity
by: Bowen Ren, et al.
Published: (2024)

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status
by: Zhang, Jinghao, et al.
Published: (2024)

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation
by: Yan, Song, et al.
Published: (2025)

Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing
by: Wang, Xu, et al.
Published: (2025)

A High-Speed Capable Spherical Robot
by: Zhang, Bixuan, et al.
Published: (2025)

Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
by: Zhou, Yicheng, et al.
Published: (2024)

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
by: Wang, Zhaoyang, et al.
Published: (2024)

Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL
by: Wu, Junyi, et al.
Published: (2026)

Binarized Diffusion Model for Image Super-Resolution
by: Chen, Zheng, et al.
Published: (2024)

HilbertA: Hilbert Attention for Image Generation with Diffusion Models
by: Zheng, Shaoyi, et al.
Published: (2025)

Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM
by: Gong, Chengyue, et al.
Published: (2025)

DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission
by: Guo, Fupei, et al.
Published: (2025)

TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling
by: Li, Yizhi, et al.
Published: (2025)

The Thinking Pixel: Recursive Sparse Reasoning in Multimodal Diffusion Latents
by: Sun, Yuwei, et al.
Published: (2026)

ROAST: Rollout-based On-distribution Activation Steering Technique
by: Su, Xuanbo, et al.
Published: (2026)

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
by: Zheng, Tianyu, et al.
Published: (2024)

TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
by: Luo, Jiamin, et al.
Published: (2024)

Compositional Visual Planning via Inference-Time Diffusion Scaling
by: Zhang, Yixin, et al.
Published: (2026)

DiffusionVel: Multi-Information Integrated Velocity Inversion Using Generative Diffusion Models
by: Zhang, Hao, et al.
Published: (2024)

Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
by: Zhang, Enming, et al.
Published: (2025)