Hoyoung Kim

I am a graduate student in the Graduate School of Artificial Intelligence at POSTECH and a member of the Machine Learning Laboratory, advised by Prof. Jungseul Ok.

My research interest lies in investigating diverse feedback mechanisms in machine learning, spanning from human-annotations to self-improvement, with the goal of the efficient evolution of artificial intelligence.

If you are interested in my research projects, please feel free to contact me via cskhy16@postech.ac.kr.

News

Oct 3, 2025	A paper about active prompt learning is accepted in TMLR 2025.
Aug 21, 2025	A paper about latent semantic clustering is accepted in EMNLP 2025 (Findings).
Jul 22, 2025	A paper about active learning with candidate set query is accepted in TMLR.
Jun 13, 2025	I have been selected as an Outstanding Reviewer for CVPR 2025.
Jan 6, 2025	I won the BK21 excellence paper award from POSTECH GSAI.

Education

Oct, 2020 - Present	Pohang University of Science and Technology (POSTECH), Pohang, South Korea Integrated M.S./Ph.D. in Graduate School of Artificial Intelligence Advisor: Prof. Jungseul Ok
Mar, 2016 - Aug, 2020	Pohang University of Science and Technology (POSTECH), Pohang, South Korea B.S in Computer Science and Engineering

Publications

Active Prompt Learning with Vision-Language Model Priors

Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, and Jungseul Ok

Transactions on Machine Learning Research (TMLR) , 2025

arXiv
Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs

Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang, Eunhyeok Park, and Jungseul Ok

Empirical Methods in Natural Language Processing (EMNLP) , 2025 (Findings)

arXiv
Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, and Suha Kwak

Transactions on Machine Learning Research (TMLR) , 2025

arXiv
Active Label Correction for Semantic Segmentation with Foundation Models

Hoyoung Kim, Sehyun Hwang, Suha Kwak, Suha Kwak, and Jungseul Ok

International Conference on Machine Learning (ICML) , 2024

arXiv Code Project page
Active Learning for Semantic Segmentation with Multi-class Label Query

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak

Neural Information Processing Systems (NeurIPS) , 2023

arXiv Code Poster
Adaptive Superpixel for Active Learning in Semantic Segmentation

Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, and Jungseul Ok

International Conference on Computer Vision (ICCV) , 2023

arXiv Code Poster
Robust Deep Learning from Crowds with Belief Propagation

Hoyoung Kim*, Seunghyuk Cho*, Dongwoo Kim, and Jungseul Ok

International Conference on Artificial Intelligence and Statistics (AISTATS) , 2022

arXiv Code Poster