OWQ: Lessons learned from activation outliers for weight quantization in large language models. - Changhun Lee; Jungyu Jin; Taesu Kim; Hyungjun Kim; Eunhyeok Park (CoRR, 2023)

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models. - Changhun Lee; Jungyu Jin; Taesu Kim; Hyungjun Kim; Eunhyeok Park (AAAI, 2024)

QEFT: Quantization for Efficient Fine-Tuning of LLMs. - Changhun Lee; Jungyu Jin; Younghyun Cho; Eunhyeok Park (EMNLP (Findings), 2024)

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval. - Changhun Lee; Minsang Seok; Jungyu Jin; Younghyun Cho; Eunhyeok Park (ACL (1), 2025)

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval. - Changhun Lee; Jungyu Jin; Younghyun Cho; Eunhyeok Park (CoRR, 2025)