Mirai Labs Proposes Hybrid Decoding Method
awnihannun · x · 2026-07-10
Mirai Labs has released new research on interactive speculative decoding for large language models. The authors propose a hybrid draft model combining the strengths of factorized and autoregressive drafters to improve draft acceptance rates for local LLM inference at batch size=1. Experiments show it is 4.37x faster than autoregressive decoding and outperforms the current strongest public DFlash baseline by 24.7%.
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