Is MoE-Spec superseded?

MoE-Spec (Speculative decoding): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline. Sub-problem: cluster led by EAGLE-2. Newer alternatives in the same sub-problem include DREAM-S, PPOW, SpecForge, OnlineSpec, MoE-Spec.

Method Drift›Speculative decoding

Tracked

MoE-Spec

MoE-Spec: Expert Budgeting for Efficient Speculative Decoding

Speculative decoding · first seen Feb 17, 2026

current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

DREAM-S DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation
May 30, 2026
PPOW Performance-Driven Policy Optimization for Speculative Decoding with Adaptive Windowing
May 14, 2026
SpecForge SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Mar 19, 2026
OnlineSpec When Drafts Evolve: Speculative Decoding Meets Online Learning
Mar 13, 2026
MoE-Spec MoE-Spec: Expert Budgeting for Efficient Speculative Decoding
Feb 17, 2026
AdaSPEC AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
Oct 22, 2025
Hierarchical Speculative Decoding (HSD)Fast Inference via Hierarchical Speculative Decoding
Oct 22, 2025
TokenTiming TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
Oct 17, 2025
Draft, Verify, & Improve (DVI)Draft, Verify, and Improve: Toward Training-Aware Speculative Decoding
Oct 6, 2025
FastGRPO FastGRPO: Accelerating Policy Optimization via Concurrency-aware Speculative Decoding and Online Draft Learning
Sep 26, 2025