Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
机构 * University of California-Santa Barbara(加州大学圣巴巴拉分校) ; Amazon(亚马逊)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);post-training(title,abstract);pretraining(abstract)
Comments Accepted to EMNLP 2025