Is DISP-LLM superseded?

DISP-LLM (Mixture-of-experts routing): superseded — cited as a baseline and beaten by newer methods. 0 paper(s) critique it, 2 beat it on benchmarks — #77 of 1370 most-superseded. 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

DISP-LLM

DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models

Superseded baseline#77 of 1,370 most-superseded · first seen Oct 15, 2024

Superseded — cited as a baseline and beaten by newer methods

0 papers critique it · 2 beat it on benchmarks

Beaten on benchmarks

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

DOT-MoE beats DISP-LLM
59.8 vs 52.7
Avg. · [LLaMA-3 8B, 3.80B params]
DOT-MoE: Differentiable Optimal Transport for MoEfication

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.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