3 papers
cs.AI2026
MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Domain Risks in LLMs
Liang Shan, Kaicheng Shen, Wen Wu +9
Ensuring the safety of Large Language Models (LLMs) is critical for real-world deployment. However, current safety measures often fail to address implicit, domain-specific risks. T…
cs.CL2026
MemPro: Agentic Memory Systems as Evolvable Programs
Qingshan Liu, Guoqing Wang, Wen Wu +5
Long-horizon autonomous agents require memory systems to retain historical information, track evolving states, and reuse relevant knowledge beyond finite context windows. Existing…
cs.IR2025
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
Guangze Ye, Wen Wu, Guoqing Wang +3
The group recommendation (GR) aims to suggest items for a group of users in social networks. Existing work typically considers individual preferences as the sole factor in aggregat…