Diffusion Language Model

Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference

Official repository of DARE: Diffusion Large Language Models Alignment and Reinforcement Executor

[ICLR 2026] Official repository of "Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models"

paper list, tutorial, and nano code snippet for Diffusion Large Language Models.

[ICML 2026] d3LLM: Ultra-Fast Diffusion LLM 🚀

Flexible and Pluggable Serving Engine for Diffusion LLMs

Experimental playground for benchmarking language model (LM) architectures, layers, and tricks on smaller datasets. Designed for flexible experimentation and exploration.

Stable-DiffCoder is a family of lightweight open-source code DLLMs(diffusion large language models) comprising base and instruct models, developed by ByteDance Seed.

(ICLR 2026 🔥) Code for "The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs"

Official Repo For PerceptionDLM Codebase

Frequently updated list of dLLM (Diffusion Large Language Models) papers, models, and other resources

[ACL 2026] Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models

[arXiv 2026] dVoting: Fast Voting for dLLMs

LightningRL: Breaking the Accuracy–Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning

Official Repository of "Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step"

Triplet-Block Diffusion RWKV

[ACL 2026 Main] Code for paper "d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models"

MemDLM: Memory-enhanced Diffusion Language Model

dLLM training implementation on pure jax/flax (w/o pytorch) for Google TPUs(v4/v5e/v6e). #TPUSprint #TRC