Education

Experience

Research Interests

• Retrieval-Augmented Generation (RAG)
• Multimodal Learning and Vision-Language Models
• Model Evaluation and Benchmarking
• Large Language Models (LLMs)
• Video Understanding

Publications

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning

Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo, Gunhee Kim, Moontae Lee, Kyungjae Lee. (2026). "Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning." ICLR 2026.

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

Jaewoo Ahn, Heeseung Yun, Dayoon Ko, Gunhee Kim. (2025). "Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates." ACL 2025.

When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR

Dayoon Ko, Jinyoung Kim, Sohyeon Kim, Jinhyuk Kim, Jaehoon Lee, Seonghak Song, Minyoung Lee, Gunhee Kim. (2025). "When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR." Findings of ACL 2025.

DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

Jinyoung Kim, Dayoon Ko, Gunhee Kim. (2024). "DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG." EMNLP 2024.

GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?

Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim. (2024). "GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?" ACL 2024.

Can Language Models Laugh at YouTube Short-form Videos?

Dayoon Ko, Sangho Lee, Gunhee Kim. (2023). "Can Language Models Laugh at YouTube Short-form Videos?" EMNLP 2023.