2 papers
cs.CV2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li, Xianglong Yan, Tianao Zhang +7
Large Language Models (LLMs) have greatly pushed forward advancements in natural language processing, yet their high memory and computational demands hinder practical deployment. B…
cs.CV2023
An Effective Two-stage Training Paradigm Detector for Small Dataset
Zheng Wang, Dong Xie, Hanzhi Wang +1
Learning from the limited amount of labeled data to the pre-train model has always been viewed as a challenging task. In this report, an effective and robust solution, the two-stag…