Author

Yoonkyu Woo

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Preprint Oct 2026

MisconceptDialogue: Evaluation Criteria Shape Measured Success in LLM Math Tutoring

Large language models are increasingly used as math tutors, raising two questions: can a single LLM detect a student's error, diagnose the underlying misconception, and remediate it through multi-turn dialogue - and can we trust the numbers that report how well it does? We address both with MISCONCEPTDIALOGUE, a fully...

Woo-Jin Lee, Yoonkyu Woo, Jinah Kim et al. · 0 citations

#artificial intelligence Review Oct 2026

YouRA: A Persistent-State Architecture for Evidence-Traceable Autonomous Research Agents

End-to-end research agents can now produce complete scientific papers, yet manuscript claims often diverge from executed experiments. This gap is structural: research state, failure histories, and claim-evidence alignment are not maintained as persistent, verifiable state across long-horizon pipelines. We present YouRA...

Yoonkyu Woo, Woo-Jin Lee, Jin-Xia Huang · 0 citations

#natural language process... Preprint Sep 2026

Comparing Self-Supervised and Domain-Invariant Features for Cross-Domain Voice Phishing Detection

Fundamental trade-offs are revealed: domain-invariant features enable zero-shot deployment when no real data exists, while SSL methods achieve higher performance but require real samples and compute.

Jeongmin Lee, Seung Yun, Minkyu Lee et al. · 0 citations