2 papers
cs.NE2026
MEGO: Learning Mixture-of-Experts for General-Purpose Binary Optimization
Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong +2
Discrete optimization is ubiquitous in science and engineering. The vast array of existing discrete optimization problems, coupled with the continuous emergence of new ones, necess…
cs.CR2026
Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
Wenjing Hong, Zhonghua Rong, Li Wang +5
Large Language Models (LLMs) have been widely deployed, especially through free Web-based applications that expose them to diverse user-generated inputs, including those from long-…