GEMQ (Mixture-of-experts routing): current frontier — recent, not yet superseded in the knowledge base. 0 paper(s) critique it, 0 beat it on benchmarks — not ranked as a superseded baseline.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 MoEQuant. Newer alternatives in the same sub-problem include BitsMoE, GEMQ, KBVQ-MoE, MC# (Mixture-Compressor-sharp).

Mixture-of-experts routing

GEMQ

GEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs

On the frontierfirst seen May 21, 2026

Current frontier — recent, not yet superseded in the knowledge base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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

BitsMoEBitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization
May 22, 2026
GEMQGEMQ: Global Expert-Level Mixed-Precision Quantization for MoE LLMs
May 21, 2026
KBVQ-MoEKBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Jan 30, 2026
MC# (Mixture-Compressor-sharp)MC#: Mixture Compressor for Mixture-of-Experts Large Models
Oct 13, 2025