Author

Shi-Yuan Li

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#machine learning Preprint Sep 2026

SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection

Token-level text anomaly detection, as an emerging trend of text anomaly detection, moves beyond coarse-grained document-level detection by localizing anomalous tokens within text. By providing fine-grained abnormality prediction, token-level text anomaly detection plays a critical role in various real-world applicatio...

Ke Yan, Yue Tan, Qing-Feng Chen et al. · 0 citations

Preprint Jul 2026

CORE: In-Context Reconstruction for Unified Tabular Anomaly Detection

CORE introduces a decorrelated feature alignment module to directly align heterogeneous features into a unified representation space, which retains their semantic information, and formulates unified TAD as an in-context reconstruction problem, eliminating the need for labeled or synthesized anomalies.

Yunfeng Zhao, Qingfeng Chen, Yue Tan et al. · 0 citations