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)

Efficient Transparent Polynomial Commitments for zk-SNARKs. - Sungwook Kim; Sungju Kim; Yulim Shin; Sunmi Kim; Jihye Kim 001; Hyunok Oh (ESORICS (3), 2023)

vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management. - Gyeongseo Park; Minho Kim; Ki-Dong Kang; Yunhyeong Jeon; Sungju Kim; Hyosang Kim; Daehoon Kim (PACT, 2024)

HyperCLOVA X Technical Report. - Kang Min Yoo; Jaegeun Han; Sookyo In; Heewon Jeon; Jisu Jeong; Jaewook Kang; Hyunwook Kim; Kyung-Min Kim; Munhyong Kim; Sungju Kim; Donghyun Kwak; Hanock Kwak; et al. (CoRR, 2024)

A Survey on Large Language Models for Code Generation. - Juyong Jiang; Fan Wang; Jiasi Shen 003; Sungju Kim; Sunghun Kim 001 (CoRR, 2024)