From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents 事件

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents arXiv:2605.25693v1 Announce Type: new Abstract: While role-playing agents excel in short-term interactions, long-term conversations overwhelm context windows, motivating external memory frameworks. Current systems typically rely on persona-agnostic summarization, which records facts without persona-specific interpretation, yielding generic responses that compromise persona fidelity. To bridge this