COLM 2026论文提出一种针对LLM多智能体系统的故障定位方法，帮助开发者快速找出哪个智能体“搞砸了”协作流程。
arXiv:2607.07989v1 Announce Type: cross Abstract: Large language model (LLM) based multi-agent systems enable complex problem solving through coordina…
合作多智能体强化学习中，新方法应对指令干扰，显著提升鲁棒性与任务成功率。
arXiv:2605.12655v2 Announce Type: replace Abstract: Multi-agent reinforcement learning (MARL) in real-world use cases may need to adapt to external na…
多智能体系统迈向深层协作，开启LLM直接交互的新范式
arXiv:2511.20639v3 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) extend large language models (LLMs) from independent single-model …
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…