TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
TriP-LLM introduces a novel tri-branch framework leveraging frozen LLMs to revolutionize time-series anomaly detection with superior efficiency and accuracy.