How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Efficiency: DPad-enhanced dLLMs achieve up to a 61.39× speedup over vanilla dLLM baselines. Accuracy: DPad-enhanced dLLMs achieve up to a +26.46% improvement over vanilla dLLM baselines. (Evaluation conducted on NVIDIA A100-PCIe-80GB GPUs).
Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models
Official repository for the paper: Accelerating Diffusion LLMs via Adaptive Parallel Decoding
Code accompanying the paper "Layer Collapse in Diffusion Language Models" by Alexander Conzelmann, Albert Catalan-Tatjer, and Shiwei Liu (Tübingen AI Center / MPI for Intelligent Systems / ELLIS Institute Tübingen). Link: https://arxiv.org/abs/2605.06366
DMax is a new dLLM paradigm achieving aggressive parallel decoding while preserving generation quality.
The main features of czg1225/dmax are: Inference Optimization.
Open-source alternatives to czg1225/dmax include: crys-chen/dpad — Efficiency: DPad-enhanced dLLMs achieve up to a 61.39× speedup over vanilla dLLM baselines. Accuracy: DPad-enhanced… cychomatica/freedave — Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models. danielmisrael/apd — Official repository for the paper: Accelerating Diffusion LLMs via Adaptive Parallel Decoding. duterscmy/soar — . eth-sri/constrained-diffusion — Constrained Decoding of Diffusion LLMs with Context-Free Grammars. conzel/super-outlier-dlm — Code accompanying the paper "Layer Collapse in Diffusion Language Models" by Alexander Conzelmann, Albert…