Is ARB-LLM superseded?

ARB-LLM (LLM quantization): superseded — cited as a baseline and beaten by newer methods. 1 paper(s) critique it, 1 beat it on benchmarks — #34 of 80 most-superseded. Sub-problem: cluster led by RTN. Newer alternatives in the same sub-problem include STaR-Quant, Timestep-Aware SVDQuant-GPTQ, BWLA, Bit-by-Bit, Benford-Quant.

LLM quantization

ARB-LLM

Superseded baseline#34 of 80 most-superseded

Superseded — cited as a baseline and beaten by newer methods

1 papers critique it · 1 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites ARB-LLM as a baseline.

Existing binarization methods predominantly focus on weight-only designs while overlooking the quantization characteristics of activations, leading to suboptimal performance when activations are quantized to low bit-widths.

— BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs

Beaten on benchmarks

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

BWLA beats ARB-LLM
60.07 vs 29.00
Avg. · [Qwen3-14B, 6-bit activation]
BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs

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Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.