评分 6 · 来源：cs.CL updates on arXiv.org · 发布于 2026-04-20
评分依据：经验压缩谱：统一agent记忆、技能和规则的框架
要点
arXiv:2604.15877v1 Announce Type: cross Abstract: As LLM agents scale to long-horizon, multi-session deployments, efficiently managing accumulated experience becomes a critical bottleneck. Agent memory systems and agent skill discovery both address this challenge — extracting reusable knowledge from interaction traces — yet a citation analysis of 1,136 references across 22 primary papers reveals a cross-community citation rate below 1%. We propose the \emph{Experience Compression Spectrum}, a unifying framework that positions memory, skills, and rules as points along a single axis of increas…
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