Dayoon Ko

- Ph.D. Student

Introduction

Hello, I’m M.S./Ph.D integrated student in CSE at Seoul National University advised by Prof. Gunhee Kim.
My primary research interest is Audio-Visual learning and Video representation learning.

Contact

dayoon.ko@vision.snu.ac.kr

Education

M.S. : Department of Computer Science and Engineering, Seoul National University, 2022~
B.S. : Department of Computer Science and Engineering, Yonsei University, 2022

Publication

• Dayoon Ko , Jinyoung Kim , Sohyeon Kim , Jinhyuk Kim , Jaehoon Lee , Seonghak Song , Minyoung Lee and Gunhee Kim , GradNormIR: When Should We Update the Dense Retriever in Evolving Corpora?, ACL 2025 (Findings).
• Jaewoo Ahn , Heeseung Yun , Dayoon Ko and Gunhee Kim , Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates, ACL 2025.
• Jinyoung Kim , Dayoon Ko and Gunhee Kim , DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG, EMNLP 2024.
• Dayoon Ko , Jinyoung Kim , Hahyeon Choi and Gunhee Kim , GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?, ACL 2024.
• Dayoon Ko , Sangho Lee and Gunhee Kim , Can Language Models Laugh at YouTube Short-form Videos?, EMNLP 2023.