Sanghyu Yoon

ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection

From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning

Tabular Anomaly Detection via Reconstruction with Attention-Based Bottleneck

Attention-Guided Masking and Neighbor-Informed Reconstruction for Tabular Anomaly Detection

Range-limited Augmentation for Few-shot Learning in Tabular Data