Is Hessian superseded?

Hessian (Mixture-of-experts routing): superseded — cited as a baseline and beaten by newer methods. 0 paper(s) critique it, 2 beat it on benchmarks — #81 of 1370 most-superseded. 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

Hessian

Superseded baseline#81 of 1,370 most-superseded

Superseded — cited as a baseline and beaten by newer methods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 Hessian. Values are copied from the source paper's tables — verify against the cited paper.

PMQ beats Hessian
70.60 vs 67.79
Avg. (%) · [DeepSeek-VL2-L at 2.57-bit]
MC#: Mixture Compressor for Mixture-of-Experts Large Models

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.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