[ICLR 2026] Official repository of "Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models"
[AAAI 2026 & ACL 2026] The official implementation of the DIFFA series for dLLM-based large audio language model
Embedding Inversion via Conditional Masked Diffusion: recover original text from embedding vectors using parallel denoising. Live demo + training pipeline + technical report.
[ICLR2026] Official Code for Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
🛠 Reconstruct original text from text embeddings using conditional masked diffusion to reveal reversible embedding representations efficiently and accurately
A curated list of diffusion language models (dLLMs): papers, models, and code behind diffusion-based, non-autoregressive text generation, focused on 2025–2026.
Minimal masked diffusion LM in PyTorch. Pretraining + SFT + a scaling family from 50M to 350M, LLaDA recipe.
Run NVIDIA's Nemotron-Labs-TwoTower-30B-A3B block-wise diffusion LM natively on Apple Silicon with MLX — AR tower + full two-tower mask-diffusion, 4/6/8-bit + bf16.
Local, type-aware diffusion code editor — on-device whole-region code edits steered by type-checker feedback inside the denoising loop (Apple Silicon / MLX)
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