SoccerDream AI ← AI 圈资讯 论文研究

When Retrieval Is Not Enough: Obsolete Facts in Agent Memory

arXiv 人工智能 ·

arXiv:2610.36308v1 Announce Type: new Abstract: Memory-agent benchmarks often collapse retrieval and answer generation into one score, making it hard to tell whether a failure comes from missing an update or from not using an update that was already retrieved. We examine this distinction on the single-hop FactConsolidation task of MemoryAgentBench. With Qwen2.5-7B-Instruct on 6K-history BM25 accuracy drops from 45% to 32% when the retrieved evidence budget grows from 64 to 512 tokens, even though a gold-assisted post-hoc audit finds the newest statement in every retrieved set. Most of the erro

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。
AI 生成内容标识:本页的分析结论与文字内容由 SoccerDream AI 大语言模型自动生成,依据《人工智能生成合成内容标识办法》予以标注;赛事数据、赛果与市场指数来自公开数据源,并经系统规则校验。内容仅供研究参考,不构成任何建议。