3 papers
cs.LG2026
ContrastiveCFG: Guiding Diffusion Sampling by Contrasting Positive and Negative Concepts
Jinho Chang, Changsun Lee, Hyungjin Chung +1
As Classifier-Free Guidance (CFG) has proven effective in conditional diffusion model sampling for improved condition alignment, many applications use a negated CFG term as a Negat…
cs.CL2026
Hypothesis-Conditioned Query Rewriting for Decision-Useful Retrieval
Hangeol Chang, Changsun Lee, Seungjoon Rho +2
Retrieval-Augmented Generation (RAG) improves Large Language Models (LLMs) by grounding generation in external, non-parametric knowledge. However, when a task requires choosing amo…
eess.IV2024
Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation
Changsun Lee, Sangjoon Park, Cheong-Il Shin +4
Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation. However extending them to 3D medical imaging has been challenging due to computa…