GPLQ (LLM quantization): superseded — cited as a baseline and beaten by newer methods. 0 paper(s) critique it, 1 beat it on benchmarks — #53 of 80 most-superseded. Sub-problem: cluster led by PACT. Newer alternatives in the same sub-problem include GABFusion, MEC-Quant.

LLM quantization

GPLQ

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Superseded baseline#53 of 80 most-superseded · first seen Jun 13, 2025

Superseded — cited as a baseline and beaten by newer methods

0 papers critique it · 1 beat it on benchmarks

Beaten on benchmarks

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

+ Ours beats GPLQ
81.8 vs 78.3
mAP · [RT-DETR W3A3]
GABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.

GABFusionGABFusion: Rethinking Feature Fusion for Low-Bit Quantization of Multi-Task Networks
Nov 8, 2025
MEC-QuantMEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
Sep 19, 2025