Inho Kang

According to our database, Inho Kang authored at least 24 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines.

Sunkyung Lee, Jihye Back, Donghyeon Jeon, Soonhwan Kwon, Moonkwon Kim, Inho Kang, Jongwuk Lee

CoRR, April, 2026

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, June, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

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., January, 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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Evaluation of Generative Large Language Models.

Douglas W. Oard, Akiko Aizawa, Inho Kang, Yiqun Liu, Paul Thomas

Proceedings of the Tenth International Workshop on Evaluating Information Access, 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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Korean Language Modeling via Syntactic Guide.

Hyeondey Kim, Seonhoon Kim, Inho Kang, Nojun Kwak, Pascale Fung

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

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, 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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA.

Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Overview of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task.

Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, Inho Kang

Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, 2020

RSLNV at the NTCIR-15 Dialogue Evaluation (DialEval-1) Task.

Ting Cao, Fan Zhang, Haoxiang Shi, Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, Injae Lee, Kyungduk Kim, Inho Kang

Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, 2020

2019

Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information.

Seonhoon Kim, Inho Kang, Nojun Kwak

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information.

Seonhoon Kim, Jin-Hyuk Hong, Inho Kang, Nojun Kwak

CoRR, 2018

Clova: Services and Devices Powered by AI.

Inho Kang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Naver Search: Deep Learning Powered Search Portal for Intelligent Information Provision.

Inho Kang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Ranking Rich Mobile Verticals based on Clicks and Abandonment.

Mami Kawasaki, Inho Kang, Tetsuya Sakai

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2012

A New Feature Selection Method for One-Class Classification Problems.

Young-Seon Jeong, Inho Kang, Myong Kee Jeong, Dongjoon Kong

IEEE Trans. Syst. Man Cybern. Part C, 2012

A differentiated one-class classification method with applications to intrusion detection.

Inho Kang, Myong K. Jeong, Dongjoon Kong

Expert Syst. Appl., 2012