General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we introduce RobotWorld, a challenging simulation testbed for robot use: turning instructions and observations into physic...
Zhiqin Yang, Chen-Xin Li, Xiao-Meng Hu et al.· 1 citation
This work presents AVSplat, a framework that turns additional views into reliable signals for both aggregation and representation, and restores positive view scaling where performance remains stable or improves as more input views are added, instead of degrading in the dense-view regime.
Muyu Xu, Fang-Neng Zhan, Yu Wei et al.· 0 citations
A reasoning-driven vision-language framework that explicitly models the ophthalmologist's diagnostic workflow by generating structured clinical reasoning prior to diagnosis is developed, demonstrating that explicitly modeling expert clinical reasoning simultaneously improves interpretability and diagnostic performance.