2026
Hierarchy Decoding: A Training-free Parallel Decoding Strategy for Diffusion Large Language Models
ICLR 2026poster
The utilization of large language models (LLMs) has become increasingly widespread, and has attracted considerable attention. Although the emergence of discrete diffusion large language models (dLLMs) mitigates the inference latency inherent in autoregressive LLM decoding, its computational overhead…