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ORCIDJaewoo Park 0003
Person information
- affiliation: Yonsei University, School of Information, Communications, and Electronic Engineering, Department of Artificial Intelligence, Seoul, South Korea
- affiliation: Catholic University of Korea, Bucheon, South Korea
Other persons with the same name
- Jaewoo Park (aka: Jae-Woo Park) — disambiguation page
- Jaewoo Park 0001
![[0000-0001-7508-3371]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7508-3371")
— AiV Co., Seoul, South Korea (and 1 more) - Jaewoo Park 0002 — Yonsei University, Department of Applied Statistics, Seoul, Republic of Korea (and 1 more)
- Jaewoo Park 0004 — Yonsei University, Graduate School of Information, Information Security Lab, Seoul, South Korea (and 1 more)
- Jaewoo Park 0005 — Seoul National University, Department of Electrical and Computer Engineering, INMC, Seoul, South Korea
- Jaewoo Park 0006 — Ulsan National Institute of Science and Technology (UNIST), Department of Physics, Ulsan, South Korea
- Jaewoo Park 0007 — Samsung Electronics, Memory Division, Hwaseong, South Korea
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2020 – today
- 2025
[i4]Jiwan Chung, Saejin Kim, Yongrae Jo, Jaewoo Park, Dongjun Min, Youngjae Yu:
Teaching Metric Distance to Autoregressive Multimodal Foundational Models. CoRR abs/2503.02379 (2025)- [i3]Junhyeok Kim, Jaewoo Park, Junhee Park, Sangeyl Lee, Jiwan Chung, Jisung Kim, Ji Hoon Joung, Youngjae Yu:
GuideDog: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance. CoRR abs/2503.12844 (2025) - [i2]Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu:
Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation. CoRR abs/2504.03197 (2025) - [i1]Yejin Choi, Jaewoo Park, Janghan Yoon, Saejin Kim, Jaehyun Jeon, Youngjae Yu:
Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation. CoRR abs/2508.17079 (2025) - 2024
- [c1]Jae-Woo Park, Seong-Jin Park, Hyun-Sik Won, Kang-Min Kim:
Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation. EMNLP (Findings) 2024: 8157-8177
Coauthor Index
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