arXiv 2610.28577 · cs.CL · 2026-10-20
Cache Engineering for Agents
Tianyu Fu, Ruoxi Wang, Zihan Min, Zhongqi Ren, Zhihao Li, Tengxuan Liu, Shengxu Mu, Hanling Zhang 等 9 人
Tsinghua-NICS-EFC
在最新榜 #40 本站收录于 2026-10-23
一句话要点
清华团队提出“缓存工程”：让智能体直接操作自己的 KV Cache（drop 丢弃、repos 调整位置编码），而不是裁剪或总结历史，避免重新预填充；配套 AKV 推理引擎，相比阈值触发的摘要方案平均成本降 27.7%、基准分高 1.7 分。
Tsinghua researchers propose cache engineering: agents directly edit their KV cache (drop entries, reposition keys) instead of trimming or summarising history, avoiding re-prefill; with the co-designed AKV engine, a rolling-drop policy cuts average cost by 27.7% and adds 1.7 benchmark points vs summarisation.
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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