LLaDA-8B-Instruct

A new study from arXiv (2608.23807v1) characterizes serving of masked diffusion language models (dLLMs) using LLaDA-8B-Instruct with a D2F LoRA adapter on a single NVIDIA H200 GPU, finding that reques…

Researchers proposed Dynamic-dLLM, a training-free framework to accelerate Diffusion Large Language Models (dLLMs) by dynamically allocating cache budgets and calibrating decoding thresholds. The meth…

Researchers have developed Discrete Tilt Matching (DTM), a likelihood-free method for fine-tuning masked diffusion large language models using reinforcement learning. The approach recasts fine-tuning …