A differentiated one-class classification method with applications to intrusion detection. - Inho Kang; Myong K. Jeong; Dongjoon Kong (Expert Syst. Appl., 2012)

A New Feature Selection Method for One-Class Classification Problems. - Young-Seon Jeong 001; Inho Kang; Myong Kee Jeong; Dongjoon Kong (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Ranking Rich Mobile Verticals based on Clicks and Abandonment. - Mami Kawasaki; Inho Kang; Tetsuya Sakai (CIKM, 2017)

Naver Search: Deep Learning Powered Search Portal for Intelligent Information Provision. - Inho Kang (SIGIR, 2017)

Clova: Services and Devices Powered by AI. - Inho Kang (SIGIR, 2018)

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information. - Seonhoon Kim; Jin-Hyuk Hong; Inho Kang; Nojun Kwak (CoRR, 2018)

Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information. - Seonhoon Kim; Inho Kang; Nojun Kwak (AAAI, 2019)

RSLNV at the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. - Ting Cao; Fan Zhang 053; Haoxiang Shi; Zhaohao Zeng; Sosuke Kato; Tetsuya Sakai; Injae Lee; Kyungduk Kim; Inho Kang (NTCIR, 2020)

Overview of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. - Zhaohao Zeng; Sosuke Kato; Tetsuya Sakai; Inho Kang (NTCIR, 2020)

Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. - Seonhoon Kim; Seohyeong Jeong; Eunbyul Kim; Inho Kang; Nojun Kwak (AAAI, 2021)

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers. - Boseop Kim; HyoungSeok Kim; Sang-Woo Lee 001; Gichang Lee; Dong-Hyun Kwak; Dong Hyeon Jeon; Sunghyun Park 005; Sungju Kim; Seonhoon Kim; Dongpil Seo; Heungsub Lee; Minyoung Jeong; et al. (EMNLP (1), 2021)

LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory. - Eunhwan Park; Dong Hyeon Jeon; Seonhoon Kim; Inho Kang; Seung-Hoon Na (ACL (2), 2022)

SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification. - Eunhwan Park; Jong-Hyeon Lee; Dong Hyeon Jeon; Seonhoon Kim; Inho Kang; Seung-Hoon Na (COLING, 2022)

Korean Language Modeling via Syntactic Guide. - Hyeondey Kim; Seonhoon Kim; Inho Kang; Nojun Kwak; Pascale Fung (LREC, 2022)

RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering. - Eunhwan Park; Sung-Min Lee; Daeryong Seo; Seonhoon Kim; Inho Kang; Seung-Hoon Na (AAAI, 2023)

MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data. - Sung-Min Lee; Eunhwan Park; Daeryong Seo; Donghyeon Jeon; Inho Kang; Seung-Hoon Na (EACL (Findings), 2023)

Evaluation of Generative Large Language Models. - Douglas W. Oard; Akiko Aizawa; Inho Kang; Yiqun Liu 001; Paul Thomas 001 (EVIA, 2023)

RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion. - Sung-Min Lee; Eunhwan Park; Donghyeon Jeon; Inho Kang; Seung-Hoon Na (LREC/COLING, 2024)

SLM as Guardian: Pioneering AI Safety with Small Language Model. - Ohjoon Kwon; Donghyeon Jeon; Nayoung Choi; Gyu-Hwung Cho; Hwiyeol Jo; Changbong Kim; Hyunwoo Lee; Inho Kang; Sun Kim; Taiwoo Park (EMNLP (Industry Track), 2024)

SLM as Guardian: Pioneering AI Safety with Small Language Models. - Ohjoon Kwon; Donghyeon Jeon; Nayoung Choi; Gyu-Hwung Cho; Changbong Kim; Hyunwoo Lee; Inho Kang; Sun Kim; Taiwoo Park (CoRR, 2024)

A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance. - Tetsuya Sakai; Jinyoung Kim; Inho Kang (ACM Trans. Inf. Syst., 2024)

QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines. - Ohjoon Kwon; Changsu Lee; Jihye Back; Sun Suk Lim; Inho Kang; Donghyeon Jeon (CoRR, 2025)

ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models. - Junho Yoon; Geom Lee; Donghyeon Jeon; Inho Kang; Seung-Hoon Na (CoRR, 2025)