3 papers
cs.AI2026
FAST-GOAL: Fast and Efficient Global-local Object Alignment Learning
Hyungyu Choi, Young Kyun Jang, Chanho Eom
Vision-language models such as CLIP have shown impressive capabilities in aligning images and text, but they often struggle with lengthy and detailed text descriptions due to pre-t…
cs.CV2025
Visual Representation Alignment for Multimodal Large Language Models
Heeji Yoon, Jaewoo Jung, Junwan Kim +10
Multimodal large language models (MLLMs) trained with visual instruction tuning have achieved strong performance across diverse tasks, yet they remain limited in vision-centric tas…
cs.CV2025
GOAL: Global-local Object Alignment Learning
Hyungyu Choi, Young Kyun Jang, Chanho Eom
Vision-language models like CLIP have shown impressive capabilities in aligning images and text, but they often struggle with lengthy and detailed text descriptions because of thei…