arXiv · cs.AI · Hehai Lin, Zixuan Wang, Ming Yan, Peidong Wang, Shilei Cao, Minzhi Li, Bosheng Ding, Juepeng Zheng, Chengwei Qin · 5 小时前模型评分41
MAS-Gate：用节点级量化打通多智能体系统全生命周期
MAS-Gate: Unlocking Multi-Agent System Lifecycle via Node-Centric Quantification
导读
研究者提出 MAS-Gate，一种以节点为中心的量化方法，把大语言模型（LLM，Large Language Model）多智能体系统的设计编排、运行时干预与事后归因三个阶段统一起来。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
事件类型：研究发布
证据摘录
- “To bridge these disconnected perspectives, we conceptualize MAS development and operation as a three-phase lifecycle spanning design-time orchestration before execution, runtime intervention during execution, and post-hoc attribution after execution, and introduce MAS-Gate, a unified node-centric quantification applicable across these phases.”
来源：arXiv · cs.AI · arxiv.org