4 papers
Mallea: Building, Steering, and Memorizing Worlds with Coding Agent
Xuanyi Liu, Ruiqi Li, Siwei Ma
Code world models represent world dynamics through explicit state and executable rules. We investigate how to coordinate object representations, behavioral revisions, and visual me…
MindWorldBench: Evaluating Mental-State-to-Behavior Reasoning in Image-to-Video Generation
Ruiqi Li, Xuanyi Liu, Sijia Li +9
Current image-to-video models achieve visual realism and physical plausibility, but reasoning about mental states remains unexplored. Actions are driven by belief, desire, and perc…
TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models
Xuanyi Liu, Haofeng Wang, Ruiqi Li +9
Embodied world models predict the outcomes of robot actions to support learning and planning. For robots equipped with head and wrist cameras, this requires complementary views: th…
RoboTwin-Phys: Do WAMs and VLAs Understand the Physical World?
Jiaqi Zhang, Feng Ye, Mingjia Yang +6
Physical-condition diversity is largely missing from current benchmarks for robot manipulation. While large-scale simulation benchmarks increasingly incorporate variations in objec…