LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models

Explain Like I'm Normal

LaCache is a new training-free framework designed to speed up Diffusion-based LLMs by eliminating redundant computations during the denoising process. By caching specific intermediate states like embeddings and attention statistics, it allows models to skip unnecessary math and generate text much faster without losing accuracy.