2 papers
cs.LG2026
Activation Compression in LLMs: Theoretical Analysis and Efficient Algorithm
Wen-Da Wei, Han-Bin Fang, Yang-Di Liu +3
Training large language models (LLMs) is highly memory-intensive, as training must store not only weights and optimizer states but also intermediate activations for backpropagation…
cs.CR2025
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
Zhengchun Shang, Wenlan Wei, Weiheng Bai
Large Language Models (LLMs) are increasingly popular, powering a wide range of applications. Their widespread use has sparked concerns, especially through jailbreak attacks that b…