Papers by Hankook Lee
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection (2026.findings-eacl)
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Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Seungdong Yoa, Dongmin Kim, Soonyoung Lee, Hankook Lee, Woohyung Lim
| Challenge: | Existing approaches to tabular anomaly detection fail to reflect domain specific nature of real-world anomalies. |
| Approach: | They propose a framework that constructs pseudo-evaluation sets with semantically grounded synthetic anomalies. |
| Outcome: | The proposed framework generates pseudo-evaluation sets with semantically grounded synthetic anomalies. |