arXiv Machine Learning
SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection
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Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings
arXiv:2507.12295v2 Announce Type: replace-cross Abstract: Text anomaly detection is a critical task in natural language processing (NLP), with applications spanning fraud detection, misinformation id...
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ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes
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GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
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DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation
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ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data
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arXiv AI
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ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
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