Kensuke Taguchi

Enhancing Visual Reasoning via Structure-Aware Learning in Vision–Language Models

Vision-Language Models (VLMs) have achieved remarkable progress in aligning visual and textual information; however, their inference processes remain largely implicit, end-to-end, and weakly structured. As a result, even state-of-the-art models often struggle with logical consistency, spatial reasoning, multi-entity bi...