LLaDA

TAD framework boosts diffusion LLM speed and accuracy

Researchers have introduced TAD, a Temporal-Aware trajectory self-Distillation framework designed to improve the speed and accuracy of diffusion large language models (dLLMs). TAD addresses the common trade-off where fa…