3 papers
cs.LG2025
Understanding and Tackling Over-Dilution in Graph Neural Networks
Junhyun Lee, Veronika Thost, Bumsoo Kim +2
Message Passing Neural Networks (MPNNs) hold a key position in machine learning on graphs, but they struggle with unintended behaviors, such as over-smoothing and over-squashing, d…
cs.LG2025
Generative Modeling of Class Probability for Multi-Modal Representation Learning
Jungkyoo Shin, Bumsoo Kim, Eunwoo Kim
Multi-modal understanding plays a crucial role in artificial intelligence by enabling models to jointly interpret inputs from different modalities. However, conventional approaches…
cs.CV2025
Is 'Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
Ji Hyeok Jung, Eun Tae Kim, Seoyeon Kim +3
Multimodal large language models (MLLMs) act as essential interfaces, connecting humans with AI technologies in multimodal applications. However, current MLLMs face challenges in a…