HyperAccel Latency Processing Unit (LPUTM) Accelerating Hyperscale Models for Generative AI. - Seungjae Moon; Junsoo Kim 002; Jung-Hoon Kim; Junseo Cha; Gyubin Choi; Seongmin Hong; Joo-Young Kim 006 (HCS, 2023)

LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (CoRR, 2024)

A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference. - Seungjae Moon; Jung-Hoon Kim; Junsoo Kim 002; Seongmin Hong; Junseo Cha; Minsu Kim 004; Sukbin Lim; Gyubin Choi; Dongjin Seo; Jongho Kim; Hunjong Lee; Hyunjun Park; et al. (IEEE Micro, 2024)

Context-Robust Knowledge Editing for Language Models. - Haewon Park; Gyubin Choi; Minjun Kim; Yohan Jo (ACL (Findings), 2025)

ADOR: A Design Exploration Framework for LLM Serving with Enhanced Latency and Throughput. - Junsoo Kim 002; Hunjong Lee; Geonwoo Ko; Gyubin Choi; Seri Ham; Seongmin Hong; Joo-Young Kim 006 (CoRR, 2025)