CATS: Cascaded Adaptive Tree Speculation for Memory-Limited LLM Inference Acceleration
arXiv:2605.11186v1 Announce Type: new
Abstract: Auto-regressive decoding in Large Language Models (LLMs) is inherently memory-bound: every generation step requires loading the model weights and intermediate results from memory (e.g., High-Bandwidth Me…