Method Drift›Mixture-of-experts routing
Superseded baseline#236 of 1,370 most-superseded
static pruning
Mixture-of-experts routing
superseded — cited as a baseline and beaten by newer methods
2 papers critique it · 0 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites static pruning as a baseline.
“Static pruning removes parameters based on input-agnostic importance metrics”
— ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning“Consequently, applying static pruning leads to a drastic drop in the generated image quality due to the inability to accommodate such dynamic activation shifts.”
— Understanding and Harnessing Sparsity in Unified Multimodal Models
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- Jun 1, 2026
- May 18, 2026
- Feb 17, 2026
- Mixture-of-Experts (MoE) AdaptationUnderstanding and Harnessing Sparsity in Unified Multimodal ModelsDec 2, 2025
- Elastic Mixture-of-Experts (EMoE)Elastic MoE: Unlocking the Inference-Time Scalability of Mixture-of-ExpertsSep 26, 2025