3 papers
cs.CV2026
Decision-Aware Attention Propagation for Vision Transformer Explainability
Sehyeong Jo, Gangjae Jang, Haesol Park
Vision Transformers (ViTs) have become a dominant architecture in computer vision, yet their prediction process remains difficult to interpret because information is propagated thr…
cs.CV2025
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability
Sehyeong Jo, Gangjae Jang, Haesol Park
The Vision Transformer (ViT) has made significant advancements in computer vision, utilizing self-attention mechanisms to achieve state-of-the-art performance across various tasks,…
cs.HC2024
ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer
Sehyeong Jo, Jungwon Seo
Chatbot-based customer support services have significantly advanced with the introduction of large language models (LLMs), enabling enhanced response quality and broader applicatio…