#parallel generation
topicparallel generation
3 papers · 1 filter
cs.LG2026
Discrete Diffusion Models: A Unified Framework from Tokenization to Generation
Ye Yuan, Weien Li, Rui Song +20
The paper proposes a unified framework for discrete denoising diffusion models that ties together tokenization, vocabulary design, and generation methods, showing how existing appr…
cs.LG2026
Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques
Daehoon Gwak, Minhyung Lee, Junwoo Park +1
The paper surveys methods for speeding up inference of masked diffusion large language models by categorizing algorithmic, architectural, and system-level acceleration techniques a…
cs.CL2026
Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens
Yizhen Yao, Qinglin Zhu, Runcong Zhao +4
The paper introduces Anchor Supervised Revocable Decoding (ASRD), a training‑free method that uses temporally consistent anchor tokens to guide and verify generation in diffusion l…