2 papers
cs.CV2026
PointRL: Learning Point-Level Vision-Language Grounding from Verifiable Annotation Evidence
Jingyang Su, Pu Cao, Xiuze Jin +3
Vision-language models (VLMs) increasingly rely on point coordinates as a compact and executable interface for visual grounding in GUI interaction, robotic manipulation, and intera…
cs.AI2026
QuantWAMs: Calibrating at the Right Granularity for World Action Models
Jiacheng Zhou, Jinfan Lv, Ruixuan Li +4
World Action Models (WAMs) jointly predict future observations and actions, but their iterative denoising and closed-loop execution make efficient deployment costly. Existing post-…