PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents 事件

PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents arXiv:2606.04780v1 Announce Type: new Abstract: Persistent LLM agents require memory representations that make the formation of person understanding explicit across long term interaction. Existing agent memory methods emphasize information retention and retrieval, yet give limited account of how accumulated interaction evidence is abstracted into person understanding. We view this process as schema formation, where