Hoang Vuong

$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models

Anomaly detection in tabular data poses significant challenges due to heterogeneous feature types—mixing numerical, categorical, and textual attributes, which complicate learning meaningful representations of normality. Recent work has applied large language models (LLMs) to this problem by serializ…