Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory 事件

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory arXiv:2602.06025v3 Announce Type: replace Abstract: Memory is increasingly central to Large Language Model (LLM) agents operating beyond a single context window, yet most existing systems rely on offline, query-agnostic memory construction that can be inefficient and may discard query-critical information. Although runtime memory utilization is a natural alternative, prior work often incurs substantial overhead and offers limited