大模型引导因果图进化，直击根因分析痛点，AI运维新范式值得关注。
arXiv:2607.27290v1 Announce Type: new Abstract: Modern telecommunication, cloud, and microservice systems emit correlated alarm cascades when componen…
因果图未知时如何保证公平？这项研究在变量簇上实现了干预公平，为AI可靠性提供新解法。
arXiv:2602.23611v2 Announce Type: replace-cross Abstract: Algorithmic decisions about individuals require predictions that are not only accurate but a…
论文提出一种通过链发现从文本中构建隐式因果图的新方法，为自然语言因果推理提供新思路。
arXiv:2606.07525v1 Announce Type: new Abstract: Causal graphs in text are typically populated by observable, predefined events. In contrast, we study …
LLM的溯因推理一直是短板，Graph of States用因果图+状态机构建结构化信念状态，把无头苍蝇式的探索变成定向搜索，一举解决证据虚构、上下文漂移等四大痛点。
arXiv:2603.21250v2 Announce Type: replace Abstract: Logical reasoning encompasses deduction, induction, and abduction. However, while Large Language M…