Tags → #multi-objective optimization

Tutorial Initiative Launched for Personalized Learning Approaches

A new tutorial initiative has been launched to enhance educational resources through personalized and interactive learning approaches for students across various disciplines.
Study Examines Security Vulnerabilities in Large Language Models

Researchers from Beihang University, Tsinghua University, and Peking University have developed a framework called BlackDAN to enhance the effectiveness and stealthiness of jailbreak prompts for large language models while addressing security vulnerabilities.
Multi-Objective Reinforcement Learning for Cyber Defence Proposed

A study published by IEEE in 2024 explores the use of Multi-Objective Reinforcement Learning for enhancing automated cyber defense against complex threats.