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)

DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation. - Seongmin Hong; Seungjae Moon; Junsoo Kim 002; Sungjae Lee 002; Minsub Kim; Dongsoo Lee; Joo-Young Kim 001 (HCS, 2022)

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models. - Gunho Park; Baeseong Park; Minsub Kim; Sungjae Lee 002; Jeonghoon Kim; Beomseok Kwon; Se Jung Kwon; Byeongwook Kim; Youngjoo Lee; Dongsoo Lee (ICLR, 2024)