Yeyao Zhang

RGMem: Renormalization Group–inspired Memory Evolution for Language Agents

Personalized and continuous interactions are critical for LLM-based conversational agents, yet finite context windows and static parametric memory hinder the modeling of long-term, cross-session user states. Existing approaches, including retrieval-augmented generation and explicit memory systems, p…