Currently a PhD researcher at Yonsei University, focusing on efficient large language models.
Education
PhD student at Yonsei University, advised by Prof. Albert No, focusing on efficient large language models.
Background
PhD student at Yonsei University, advised by Prof. Albert No. Research focuses on efficient large language models, with particular interest in quantization and low-rank adaptation. Broadly interested in model compression, seeking to revisit and rethink assumptions that have long been treated as standard practice. Plans to explore the quantization of discrete diffusion models and investigate the role and construction of calibration datasets in compressed models.