评分 3.2 · 来源：cs.LG updates on arXiv.org · 发布于 2026-04-15
评分依据：Moderate AI relevance +practical(2)
arXiv:2604.12782v1 Announce Type: new Abstract: While 4-bit quantization is essential for high-throughput deployment of Large Language Models, activation outliers often lead to significant accuracy degradation due to the restricted dynamic range of low-bit formats. In this paper, we systematically investigate the spatial distribution of outliers and demonstrate a token-persistent structural clustering effect, where high-magnitude outliers consistently occupy fixed channels across tokens.…