D3D: Decoupled Diffusion Drafting for Asynchronous Speculative Decoding

In 30 Sekunden

Was passiert ist

D3D enables diffusion-based token drafting for language models without waiting for target model hidden states, achieving asynchronous speculative decoding with 5-7x speedup.

Warum es zählt

Matters for engineers optimizing LLM inference latency, particularly when deploying larger models where decoding speed is a bottleneck.

Achtung

Results shown on Qwen3 models; generalization to other architectures and whether layer pruning strategy transfers across model families remains unclear.