Weaver builds conditional proposal trees from a factorized drafter’s top-K marginals and a rollback-free GDN tree-verify kernel, yielding 4.37× speedup over AR decoding.
Kwon, Rui Li, Alexandros Kouris, and Stylianos I
3 Pith papers cite this work. Polarity classification is still indexing.
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SlimSpec replaces the standard LM-head in draft models with a low-rank version to deliver 4-5x faster speculative decoding while preserving full vocabulary and competitive acceptance rates.
Domino decouples causal dependency modeling from autoregressive draft execution via a parallel backbone plus lightweight causal head and a base-anchored training curriculum, reporting up to 5.49x speedup.
citing papers explorer
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Trees from Marginals: Autoregressive drafting with factorized priors
Weaver builds conditional proposal trees from a factorized drafter’s top-K marginals and a rollback-free GDN tree-verify kernel, yielding 4.37× speedup over AR decoding.
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SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding
SlimSpec replaces the standard LM-head in draft models with a low-rank version to deliver 4-5x faster speculative decoding while preserving full vocabulary and competitive acceptance rates.
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Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding
Domino decouples causal dependency modeling from autoregressive draft execution via a parallel backbone plus lightweight causal head and a base-anchored training curriculum, reporting up to 5.49x speedup.