Publications

You can also find my articles on my Google Scholar profile

Conference

💡 Hoyoon Byun, Minhoi Park, Seolah Kim, Eunbi Kim, Kyungwoo Song, “Exploring the Potential of Foundation Models as Reliable AI Contact Centers”, KDD 2025 Datasets and Benchmarks Track 🔗.

💡 Hakyung Lee, Keon-Hee Park, Hoyoon Byun, Jeyoon Yeom, Jihee Kim, Gyeong-Moon Park, Kyungwoo Song, “CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text”, EMNLP 2024 Findings 🔗.

💡 Kangjun Noh, Baekryun Seong, Hoyoon Byun, Youngjun Choi, Sungjin Song, and Kyungwoo Song, “LBC: Language-Based-Classifier for Out-Of-Variable Generalization”, NAACL 2025 🔗.

💡 Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song, “Flat Posterior Does Matter For Bayesian Model Averaging”, UAI 2025 🔗.

💡 Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song, “Geodesic Multi-Modal Mixup for Robust Fine-tuning”, NeurIPS 2023 🔗.

💡 Heeyoung Lee*, Hoyoon Byun*, Changdae Oh, JinYeong Bak, Kyungwoo Song, “Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments”, ECAI 2024 🔗.

Journal

💡 Jinho Kang*, Hoyoon Byun*, Taero Kim, Jiyoung Jung, Kyungwoo Song, “Multi-query frequency prompting for physiological signal domain adaptation”, Knowledge-Based Systems 2025 (KBS) 🔗.

💡 Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song,
“Graph perceiver IO: A general architecture for graph-structured data”, Pattern Recognition 2025 (PR) 🔗.

💡 Hoyoon Byun, Sungjun Lim, and Kyungwoo Song, “GFML: Gravity Function for Metric Learning”, Engineering Applications of Artificial Intelligence (EAAI) 🔗.

💡 Jeyoon Yeom, Hakyung Lee, Hoyoon Byun, Yewon Kim, Jeongeun Byun, Yunjeong Choi, Sungjin Kim, Kyungwoo Song, “TC-Llama 2: Korean Large Language Model for Technology-Commercialization Data”, Journal of Big Data (SCIE) 🔗.

(*Equal Contribution)