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Behavior-Grounded Semantic Enrichment for Financial Fraud Modeling and Reasoning
In financial fraud detection, rich semantic context can provide important evidence for transaction behavior modeling and fraud reasoning. However, public real-world financial datasets often lack rich semantics due to privacy constraints. Consequently, synthetic datasets incorporate generated semanti
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