1 citations · 1 across the 9 of their papers we have counts for
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What to Remember, What to Reveal: Privacy-Aware Memory for Conversational Agents
Wenjie Wang, Wenhe Si, Xinyue Xu +1
Long-term memory enables personalized conversational agents to retain user information across sessions. However, existing memory architectures primarily optimize for utility while…
From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space
Yue Xu, Yutao Sun, Yihao Liu +7
Long-term user memory is essential for personalized conversational agents, yet many memory systems still expose memory through passive retrieval interfaces, making the model a cons…
EVA: Editing for Versatile Alignment against Jailbreaks
Yi Wang, Hongye Qiu, Yue Xu +4
Large Language Models (LLMs) and Vision Language Models (VLMs) have demonstrated impressive capabilities but remain vulnerable to jailbreaking attacks, where adversaries exploit te…
Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions
Yue Xu, Qian Chen, Zizhan Ma +5
Large language models have enabled agentic systems that reason, plan, and interact with tools and environments to accomplish complex tasks. As these agents operate over extended in…