causal discovery 1causal graph refinement 1large language models 1root cause analysis 1telecommunication systems 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis
Lei Zan, Keli Zhang, Shifeng Xie +7
EvoCause leverages a large language model to suggest edits to causal graphs used for root cause analysis of alarm cascades, refining the graph with expert labels and improving dete…
cs.LG2026
Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models
Yunhao Zhang, Ruiying Qi, Jiale Zheng +3
While Next-Token Prediction (NTP) has unified LLM pretraining, its adaptation to unbounded, continuous time series (TS) remains open. To bridge the gap, we introduce UniTok, a univ…
cs.AI2025
An Identifiable Cost-Aware Causal Decision-Making Framework Using Counterfactual Reasoning
Ruichu Cai, Xi Chen, Jie Qiao +5
Decision making under abnormal conditions is a critical process that involves evaluating the current state and determining the optimal action to restore the system to a normal stat…