Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs

Alexander Bakumenko, Kateřina Hlaváčková-Schindler, Claudia Plant +1

Detecting anomalies in general ledger data is of utmost importance to ensure trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algor…