most citedSEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CL2026★ 3 cited

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models

Han Liu, Haotian Gao, Xiaotong Zhang +5

Large language models (LLMs) have shown remarkable performance in various domains, but they are constrained by massive computational and storage costs. Quantization, an effective t…