🏢 Korea University

MONET improves Transformer interpretability by using Mixture-of-Experts (MoE) with 262K monosemantic experts per layer, achieving parameter efficiency and enabling knowledge manipulation without perfo…

Constant Acceleration Flow (CAF) dramatically speeds up diffusion model generation by using a constant acceleration equation, outperforming state-of-the-art methods with improved accuracy and few-step…

LLaMo: a novel large molecular graph-language model seamlessly integrates molecular graph encoders and LLMs, achieving state-of-the-art performance in molecule description generation, property predict…