1. REVERSE: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
2. Puzzled by Puzzles: When Vision-Language Models Can’t Take a Hint
3. Constantly Improving Image Models Need Constantly Improving Benchmarks
Conference Attendance:
- NeurIPS 2025
- EMNLP 2025
Other Achievements: Obtained A1 level certificate in Goethe-Zertifikat for German language.
Research Experience
Work Experience: Studying as an undergraduate at POSTECH and working as a researcher at Berkeley AI Research (BAIR), involved in multiple research projects.
Education
Degree: Undergraduate Student in Computer Science; School: POSTECH (South Korea); Advisor: Prof. Minsu Cho; Also an undergraduate researcher at Berkeley AI Research (BAIR), supervised by Prof. Trevor Darrell, Prof. Sewon Min, and David M. Chan.
Background
Research Interests: Building trustworthy multi-modal models that can flexibly adapt to the user's needs, acting naturally and efficiently in complex multi-modality environments. Recently excited about controllable and adaptable vision-language models and real-world multimodal understanding.
Miscellany
Personal Interests: Enjoys sports, particularly soccer and running.