Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. - Seungwoo Son 005; Wonpyo Park; Woohyun Han; Kyuyeun Kim; Jaeho Lee 001 (EMNLP, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jinho Lee (CoRR, 2024)

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. - Kanghyun Choi; Hyeyoon Lee; Dain Kwon; Sunjong Park; Kyuyeun Kim; Noseong Park; Jonghyun Choi; Jinho Lee (AAAI, 2025)