Discrete Diffusion Forcing (D2F): dLLMs Can Do Faster-Than-AR Inference
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Updated
Feb 3, 2026 - Python
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 🚀
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"
Flexible and Pluggable Serving Engine for Diffusion LLMs
Frequently updated list of dLLM (Diffusion Large Language Models) papers, models, and other resources
[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"
[ACL 2026] Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
dLLM training implementation on pure jax/flax (w/o pytorch) for Google TPUs(v4/v5e/v6e). #TPUSprint #TRC
Official Repository of "ρ-𝙴𝙾𝚂: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs"
[ICML 2026] Context-Robust Remasking for Diffusion Language Models
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