Sugeeth Puranam

TABARD: A Novel Benchmark for Tabular Anomaly Analysis, Reasoning and Detection

We study the capabilities of large language models (LLMs) in detecting fine-grained anomalies in tabular data. Specifically, we examine: (1) how well LLMs can identify diverse anomaly types including factual, logical, temporal, and value-based errors; (2) the impact of prompt design and prompting st