Papers by Soonyoung Lee

2 papers
See It All: Contextualized Late Aggregation for 3D Dense Captioning (2024.findings-acl)

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Challenge: Recent approaches to 3D dense captioning struggle with contradicting objectives . SIA generates captions with different region of interest and aggregates them afterwards .
Approach: They propose a transformer pipeline that engages in 3D dense captioning with a new paradigm . SIA decodes two sets of queries—context query and instance query—and then aggregates them afterwards .
Outcome: The proposed pipeline generates captions with different region of interest and aggregates them afterwards to enhance local-global sensitivity.
AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly Detection (2026.findings-eacl)

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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.

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