5 citations · 6 across the 4 of their papers we have counts for
5 papers
PreferRec: Learning and Transferring Pareto Preferences for Multi-objective Re-ranking
Wei Zhou, Wuyang Li, Junkai Ji +5
Multi-objective re-ranking has become a critical component of modern multi-stage recommender systems, as it tasked to balance multiple conflicting objectives such as accuracy, dive…
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-…
Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
Mei Jiang, Haihai Shen, Zhuo Luo +4
Cultivating higher-order cognitive abilities -- such as knowledge integration, critical thinking, and creativity -- in modern STEM education necessitates a pedagogical shift from p…
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization
Xiasheng Ma, Shengcai Liu, Wenjing Hong
It has been widely observed that there exists no universal best Multi-objective Evolutionary Algorithm (MOEA) dominating all other MOEAs on all possible Multi-objective Optimizatio…
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Shengcai Liu, Ning Lu, Wenjing Hong +2
The field of adversarial textual attack has significantly grown over the last few years, where the commonly considered objective is to craft adversarial examples (AEs) that can suc…