个性化大模型如何“懂你”？新研究为隐式逻辑记忆检索建立基准并提出增强方案，推动AI深层记忆能力进化。
arXiv:2606.23283v1 Announce Type: new Abstract: Memory systems are essential for personalized Large Language Models (LLMs). However, existing retrieva…
提出TriAlign新框架，解决大模型个性化对齐中的真理一致性问题，思路新颖。
arXiv:2606.01755v1 Announce Type: new Abstract: Personalized large language models adapt responses to users' preferences and social attributes, but ca…
提出PersonaAgent框架，融合记忆与行动机制，让LLM Agent实现真正的个性化交互，ACL 2026接收论文。
arXiv:2506.06254v2 Announce Type: replace Abstract: Large Language Model (LLM) empowered agents have recently emerged as advanced paradigms that exhib…
将个性化LLM代理部署到边缘设备，实现P2P协作，突破本地能力限制
arXiv:2605.18067v1 Announce Type: new Abstract: Deploying large language model (LLM) on edge device enables personalized LLM agents for various users.…