Ye Seul Sim

According to our database, Ye Seul Sim authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Seungdong Yoa, Sanghyu Yoon, Suhee Yoon, Dongmin Kim, Ye Seul Sim, Junhyun Lee, Woohyung Lim

CoRR, February, 2026

AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection.

Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Seungdong Yoa, Dongmin Kim, Soonyoung Lee, Hankook Lee, Woohyung Lim

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection.

Dongmin Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Seungdong Yoa, Soonyoung Lee, Woohyung Lim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim

CoRR, October, 2025

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains.

Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Seoyoon Kim, Min-Kook Suh, Woohyung Lim

CoRR, May, 2025

Range-limited Augmentation for Few-shot Learning in Tabular Data with Comprehensive Benchmark.

Kyungeun Lee, Moonjung Eo, Hye-Seung Cho, Min-Kook Suh, Seoyoon Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection.

Suhee Yoon, Sanghyu Yoon, Ye Seul Sim, Sungik Choi, Kyungeun Lee, Hye-Seung Cho, Hankook Lee, Woohyung Lim

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data.

Moonjung Eo, Kyungeun Lee, Hye-Seung Cho, Dongmin Kim, Ye Seul Sim, Woohyung Lim

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains.

Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho, Moonjung Eo, Suhee Yoon, Sanghyu Yoon, Woohyung Lim

Proceedings of the Forty-first International Conference on Machine Learning, 2024