New Method Enhances MLA Draft Model Performance in Speculative Decoding

2026-07-31

Researchers propose a functional reconstruction approach for multi-head latent attention (MLA) draft models in speculative decoding. This method aims to improve draft-token acceptance and overall generation speed by optimizing MLA modules to match original MHA/GQA counterparts.

Source: arXiv · cs.LG

Reported by VERA Newswire.