Is Mixture-of-Experts (MoE) Adaptation superseded?

Mixture-of-Experts (MoE) Adaptation (Mixture-of-experts routing): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline.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 LLaMA-MoE. Newer alternatives in the same sub-problem include DOT-MoE, ZEDA, ExpertWeaver, Mixture-of-Experts (MoE) Adaptation, Elastic Mixture-of-Experts (EMoE).

Mixture-of-experts routing

Mixture-of-Experts (MoE) Adaptation

Understanding and Harnessing Sparsity in Unified Multimodal Models

On the frontierfirst seen Dec 2, 2025

Current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

DOT-MoEDOT-MoE: Differentiable Optimal Transport for MoEfication
Jun 1, 2026
ZEDAPost-Trained MoE Can Skip Half Experts via Self-Distillation
May 18, 2026
ExpertWeaverExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns
Feb 17, 2026
Mixture-of-Experts (MoE) AdaptationUnderstanding and Harnessing Sparsity in Unified Multimodal Models
Dec 2, 2025
Elastic Mixture-of-Experts (EMoE)Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-Experts
Sep 26, 2025