5 papers
Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism
Minjong Cheon
Large language models (LLMs) are increasingly consulted on contested scientific questions, raising the concern that they will sycophantically retreat from established consensus whe…
Bridging KAN and MLP: MJKAN, a Hybrid Architecture with Both Efficiency and Expressiveness
Hanseon Joo, Hayoung Choi, Ook Lee +1
Kolmogorov-Arnold Networks (KANs) have garnered attention for replacing fixed activation functions with learnable univariate functions, but they exhibit practical limitations, incl…
MambaOutRS: A Hybrid CNN-Fourier Architecture for Remote Sensing Image Classification
Minjong Cheon, Changbae Mun
Recent advances in deep learning for vision tasks have seen the rise of State Space Models (SSMs) like Mamba, celebrated for their linear scalability. However, their adaptation to…
Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization
Hanseon Joo, Eunji Lee, Minjong Cheon
Water segmentation is critical to disaster response and water resource management. Authorities may employ high-resolution photography to monitor rivers, lakes, and reservoirs, allo…
Design of a novel Korean learning application for efficient pronunciation correction
Minjong Cheon, Minseon Kim, Hanseon Joo
The Korean wave, which denotes the global popularity of South Korea's cultural economy, contributes to the increasing demand for the Korean language. However, as there does not exi…