Zelang Liang

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

LaCache is proposed, a training-free acceleration framework that alleviates operator-level redundancy through lossless caching and mixed precision, and inegrates a per-group FP8 quantization strategy for FFN layers, tailored to step-dependent activation distributions across the diffusion process.