2 papers
cs.CL2026
DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection
Yanyu Qian, Pengcheng Weng, Yue Tan +3
Text anomaly detection, the task of identifying text instances that deviate from normal language patterns, is crucial for language-driven applications. However, most existing metho…
cs.LG2022
Fluctuation-based Outlier Detection
Xusheng Du, Enguang Zuo, Zhenzhen He +1
Outlier detection is an important topic in machine learning and has been used in a wide range of applications. Outliers are objects that are few in number and deviate from the majo…