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Speculative decoding

trained evaluation models in speculative decoding

Superseded baseline#147 of 151 most-superseded

Cited as a baseline — critiqued by newer work, not yet beaten on a benchmark here

1 papers critique it · 0 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites trained evaluation models in speculative decoding as a baseline.

A key limitation of prior work is its reliance on trained evaluation models. These models make token-level decisions but are highly data-sensitive. This limits generalization across datasets or different combinations of large and small models.
— Entropy-Aware Speculative Decoding Toward Improved LLM Reasoning

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.