Yun-Kai Zhuang

TEM: Temporal State Tracking Memory for Large Language Model Agents

An agent's memory must remain useful as information changes across conversations. A new fact may replace an earlier value without making that value irrelevant to a later question. We present Temporal State Tracking Memory (TEM), a training-free framework for tracking these changes. TEM stores facts as versioned records...