Xiu-Ze Jin

PointRL: Learning Point-Level Vision-Language Grounding from Verifiable Annotation Evidence

Vision-language models (VLMs) increasingly rely on point coordinates as a compact and executable interface for visual grounding in GUI interaction, robotic manipulation, and interactive visual systems. However, learning reliable pointing behavior remains difficult because the supervision space is inherently non-unique:...