SoccerDream AI ← AI 圈资讯 论文研究

From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents

arXiv 人工智能 ·

arXiv:2610.22668v1 Announce Type: new Abstract: Long-term memory enables LLM agents to reuse past experiences, yet retrieving relevant memories does not necessarily provide sufficient evidence for answering a query. Essential information may remain fragmented across memory records, obscured by abstraction, or disconnected from the relations required for reasoning. We identify this relevance-sufficiency gap and propose QEMem, a framework that reformulates memory utilization as the construction of query-specific evidence sets, shifting the focus from individual retrieval relevance to collective

阅读原文 · arXiv 人工智能
本文由 SoccerDream AI 自动聚合索引,内容版权归原作者与 arXiv 人工智能 所有。
本站仅作技术动态聚合,不构成任何形式的建议。