自动化诊断大模型失败原因的新框架，用原理性方法定位LLM错误根源。
arXiv:2602.12966v2 Announce Type: replace Abstract: Understanding how and why large language models (LLMs) fail is becoming a central challenge as mod…
Google SRE实战揭秘：用agentic AI自动诊断故障、优化运维，效率提升秘籍！
Article URL: https://cloud.google.com/blog/products/devops-sre/how-google-sre-is-using-agentic-ai-to-improve-operations Comments URL: https://news.yco…
LLM Agent轨迹失败定位新方法，依赖引导搜索精准追踪异常路径
arXiv:2606.00765v1 Announce Type: new Abstract: LLM-based agents increasingly solve complex tasks through long trajectories involving reasoning steps,…
融合传播感知与LLM的场景重建方法，专为网络故障诊断设计，有望提升根因定位效率。
arXiv:2606.00582v1 Announce Type: new Abstract: Network faults propagate layer by layer along topology and protocol dependencies, yet operations syste…