ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning. - Yun-Yong Ko; Kibong Choi; Hyunseung Jei; Dongwon Lee 001; Sang-Wook Kim (CIKM, 2021)

An In-Depth Analysis of Distributed Training of Deep Neural Networks. - Yun-Yong Ko; Kibong Choi; Jiwon Seo 002; Sang-Wook Kim (IPDPS, 2021)

Optimizing the Sensitivity of Biological Particle Detectors through Atmospheric Particle Analysis According to Climatic Characteristics in South Korea. - Hyunsoo Seo; Kibong Choi; Young-Su Jeong (Sensors, 2022)

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases. - LG AI Research; Soyoung An; Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Seokhee Hong; Junwon Hwang; Hyojin Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; Jiyeon Jung; et al. (CoRR, 2024)

EXAONE Deep: Reasoning Enhanced Language Models. - LG AI Research; Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Yemuk Choi; Seokhee Hong; Junwon Hwang; Hyojin Jeon; Kijeong Jeon; Gerrard Jeongwon Jo; Hyunjik Jo; et al. (CoRR, 2025)

EXAONE 4.0: Unified Large Language Models Integrating Non-reasoning and Reasoning Modes. - Kyunghoon Bae; Eunbi Choi; Kibong Choi; Stanley Jungkyu Choi; Yemuk Choi; Kyubeen Han; Seokhee Hong; Junwon Hwang; Taewan Hwang; Joonwon Jang; Hyojin Jeon; Kijeong Jeon; et al. (CoRR, 2025)