04:00
2026-07-17
arxiv.org
large-language-models
Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs
Researchers introduced Polestar, a training-free inference framework for diffusion large language models (dLLMs) that uses token representation drift to improve efficiency. Polestar comprises two comp…