DiFA: Dual Evidence Fusion and Aggregation for token-level text anomaly detection
Read the original at arxiv.org→arXiv:2609.22136v1 Announce Type: new Abstract: Text anomaly detection, the task of identifying text instances that deviate from normal language patterns, is crucial for language-driven applications. However, most...
Original headline: "DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection"
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- Sep 22, 04:00 UTC arXiv cs.CL lead source DiFA: Dual Evidence Fusion and Aggregation for Token-Level Text Anomaly Detection