Published multiple papers, including 'Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation' accepted to EMNLP 2025, 'Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding' accepted to NAACL 2025 Findings, 'Return of EM: Entity-driven Answer Set Expansion for QA Evaluation' accepted to COLING 2025 (Oral), 'Mitigating Hallucinations in LVLMs via Summary-Guided Decoding' accepted to NeurIPS 2024 SafeGenAI, 'Leveraging Ensemble Techniques and Metadata for Subjective Knowledge-grounded Conversational Systems' awarded Best Paper at DSTC11 workshop.
Research Experience
Published papers in several international conferences and participated in research projects such as the DSTC11 challenge for dialogue system technology.
Education
Seoul National University, Ph.D. Student in Artificial Intelligence, Advisor: Kyomin Jung, Mar 2023 ~; Sungkyunkwan University, B.S. in Computer Science and Engineering (Magna Cum Laude), Mar 2017 ~ Feb 2023.
Background
Ph.D. student at Seoul National University, advised by Prof. Kyomin Jung. Research interests include: enabling LLMs to understand and interact across multiple modalities (Multimodal LLMs), enhancing decoding control for more reliable and precise responses, exploring multi-agent systems to enable dynamic and collaborative AI interactions.