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Speculative decoding

HASS

Superseded baseline#13 of 151 most-superseded

Superseded — cited as a baseline and beaten by newer methods

2 papers critique it · 6 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites HASS as a baseline.

do not fully resolve token-level misalignment
— GRIFFIN: Effective Token Alignment for Faster Speculative Decoding
“However, these methods are still primarily based on token-level supervised objectives. Such objectives improve local next-token prediction, but speculative utility is inherently window-level and prefix-sensitive: once the accepted prefix is truncated due to an early mismatch, the remaining drafted tokens in the speculative window are invalidated.”
— Performance-Driven Policy Optimization for Speculative Decoding with Adaptive Windowing

Beaten on benchmarks

Head-to-head results where a newer method reports beating HASS. Values are copied from the source paper's tables — verify against the cited paper.

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.