Inho Kang

27 papers A* 5A 1B 2Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines.
ACL (6)
Ohjoon Kwon, Changsu Lee, Jihye Back, Sun Suk Lim, Inho Kang, Donghyeon Jeon
2025 J jnl
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines.
CoRR
Ohjoon Kwon, Changsu Lee, Jihye Back, Sun Suk Lim, Inho Kang, Donghyeon Jeon
2025 J jnl
ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models.
CoRR
Junho Yoon, Geom Lee, Donghyeon Jeon, Inho Kang, Seung-Hoon Na
2024 J jnl
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance.
ACM Trans. Inf. Syst.
Tetsuya Sakai, Jinyoung Kim, Inho Kang
2024 — conf
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion.
LREC/COLING
Sung-Min Lee, Eunhwan Park, Donghyeon Jeon, Inho Kang, Seung-Hoon Na
2024 — conf
SLM as Guardian: Pioneering AI Safety with Small Language Model.
EMNLP (Industry Track)
Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Hwiyeol Jo, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park
2024 J jnl
SLM as Guardian: Pioneering AI Safety with Small Language Models.
CoRR
Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, Taiwoo Park
2023 — conf
Evaluation of Generative Large Language Models.
EVIA
Douglas W. Oard, Akiko Aizawa, Inho Kang, Yiqun Liu, Paul Thomas
2023 — conf
MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data.
EACL (Findings)
Sung-Min Lee, Eunhwan Park, Daeryong Seo, Donghyeon Jeon, Inho Kang, Seung-Hoon Na
2023 A* conf
RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering.
AAAI
Eunhwan Park, Sung-Min Lee, Daeryong Seo, Seonhoon Kim, Inho Kang, Seung-Hoon Na
2022 J jnl
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance.
CoRR
Tetsuya Sakai, Jin Young Kim, Inho Kang
2022 B conf
Korean Language Modeling via Syntactic Guide.
LREC
Hyeondey Kim, Seonhoon Kim, Inho Kang, Nojun Kwak, Pascale Fung
2022 — conf
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory.
ACL (2)
Eunhwan Park, Dong Hyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na
2022 B conf
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification.
COLING
Eunhwan Park, Jong-Hyeon Lee, Dong Hyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na
2021 A* conf
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA.
AAAI
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak
2021 — conf
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
EMNLP (1)
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung
2021 J jnl
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
CoRR
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee, Gichang Lee, Dong-Hyun Kwak, Dong Hyeon Jeon, Sunghyun Park, Sungju Kim, Seonhoon Kim, Dongpil Seo, Heungsub Lee, Minyoung Jeong, Sungjae Lee, Minsub Kim, SukHyun Ko, Seokhun Kim, Taeyong Park, Jinuk Kim, Soyoung Kang, Na-Hyeon Ryu, Kang Min Yoo, Minsuk Chang, Soobin Suh, Sookyo In, Jinseong Park, Kyungduk Kim, Hiun Kim, Jisu Jeong, Yong Goo Yeo, Donghoon Ham, Dongju Park, Min Young Lee, Jaewook Kang, Inho Kang, Jung-Woo Ha, Woo-Myoung Park, Nako Sung
2020 — conf
Overview of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task.
NTCIR
Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, Inho Kang
2020 — conf
RSLNV at the NTCIR-15 Dialogue Evaluation (DialEval-1) Task.
NTCIR
Ting Cao, Fan Zhang, Haoxiang Shi, Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, Injae Lee, Kyungduk Kim, Inho Kang
2020 J jnl
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA.
CoRR
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak
2019 A* conf
Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information.
AAAI
Seonhoon Kim, Inho Kang, Nojun Kwak
2018 A* conf
Clova: Services and Devices Powered by AI.
SIGIR
Inho Kang
2018 J jnl
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information.
CoRR
Seonhoon Kim, Jin-Hyuk Hong, Inho Kang, Nojun Kwak
2017 A* conf
Naver Search: Deep Learning Powered Search Portal for Intelligent Information Provision.
SIGIR
Inho Kang
2017 A conf
Ranking Rich Mobile Verticals based on Clicks and Abandonment.
CIKM
Mami Kawasaki, Inho Kang, Tetsuya Sakai
2012 J jnl
A New Feature Selection Method for One-Class Classification Problems.
IEEE Trans. Syst. Man Cybern. Part C
Young-Seon Jeong, Inho Kang, Myong Kee Jeong, Dongjoon Kong
2012 J jnl
A differentiated one-class classification method with applications to intrusion detection.
Expert Syst. Appl.
Inho Kang, Myong K. Jeong, Dongjoon Kong