用MoSCoW优先级为LLM多智能体循环打造确定性验证合约，开源护栏框架来了
Article URL: https://github.com/NanoPrompt/samf-framework Comments URL: https://news.ycombinator.com/item?id=48551132 Points: 1 # Comments: 0
提出「合作」定义与修复框架，为LLM多智能体系统协作难题提供新视角
arXiv:2603.00349v2 Announce Type: replace Abstract: Many complex tasks require extended effort, diverse capabilities, or coordinated actions beyond wh…
从通信视角梳理LLM多智能体系统，揭示协作模式、协议设计与未来挑战，AI开发者必读综述。
arXiv:2502.14321v3 Announce Type: replace-cross Abstract: Large language model-based multi-agent systems have recently gained significant attention du…
用记忆增强强化学习，让AI攻击更擅长长周期工具操纵，直指LLM多智能体系统的安全命门。
arXiv:2605.25389v1 Announce Type: cross Abstract: While Large Language Model-based Multi-Agent Systems (LLM-MAS) demonstrate remarkable capabilities i…
提出假设验证方法定位LLM多智能体系统故障原因，提升系统可靠性
arXiv:2605.17467v1 Announce Type: new Abstract: Large language model-driven multi-agent systems (LLM-MAS) excel at complex tasks, yet unreliable agent…