Geodesic Multi-Modal Mixup for Robust Fine-Tuning. - Changdae Oh; Junhyuk So; Hoyoon Byun; YongTaek Lim; Minchul Shin; Jong-June Jeon; Kyungwoo Song (NeurIPS, 2023)

Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. - Heeyoung Lee; Hoyoon Byun; Changdae Oh; JinYeong Bak; Kyungwoo Song (ECAI, 2024)

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

Flat Posterior Does Matter For Bayesian Transfer Learning. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (CoRR, 2024)

Tc-llama 2: fine-tuning LLM for technology and commercialization applications. - Jeyoon Yeom; Hakyung Lee; Hoyoon Byun; Yewon Kim; Jeongeun Byun; Yunjeong Choi; Sungjin Kim; Kyungwoo Song (J. Big Data, 2024)

LBC: Language-Based-Classifier for Out-Of-Variable Generalization. - Kangjun Noh; Baekryun Seong; Hoyoon Byun; Youngjun Choi 001; Sungjin Song; Kyungwoo Song (NAACL (Long Papers), 2025)

Flat Posterior Does Matter For Bayesian Model Averaging. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (UAI, 2025)

GFML: Gravity function for metric learning. - Hoyoon Byun; Sungjun Lim 002; Kyungwoo Song (Eng. Appl. Artif. Intell., 2025)

Multi-query frequency prompting for physiological signal domain adaptation. - Jinho Kang; Hoyoon Byun; Taero Kim; Jiyoung Jung; Kyungwoo Song (Knowl. Based Syst., 2025)

Graph Perceiver IO: A general architecture for graph-structured data. - Seyun Bae; Hoyoon Byun; Changdae Oh; Yoon-Sik Cho; Kyungwoo Song (Pattern Recognit., 2026)