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当前长程（Long-horizon）Agent 的性能从根本上受限于上下文，面临着“上下文爆炸”与“跨任务经验难以沉淀”等问题。

这项由明尼苏达大学双城分校、延世大学和Grammarly联合开展的研究，以预印本形式发布于2026年4月（arXiv编号：2604.10261），目前正在学术审议中。研究构建了一个名为"THE AMAZING AGENT RACE（AAR，神奇智能体竞赛）"的测试框架，用于系统评估AI智能体（即能自主使用工具完成任务的AI程序）在复杂任务中的真实能力。