Tag
This paper rethinks interactive world models as game engines by examining four key dimensions—action control, state dynamics, state-observation persistence, and real-time generation—and introduces a scalable data engine for Black Myth: Wukong with over 90 hours of gameplay data to advance state-aware game world modeling.
ActWorld proposes a chunk-autoregressive world model with hierarchical action-aware memory to support object interaction alongside navigation, addressing data and memory bottlenecks in existing interactive world models.
WBench is a comprehensive multi-turn benchmark for evaluating interactive world models across five dimensions using 289 test cases and 1,058 interaction turns, providing automatic sub-metrics and diagnostic insights. It reveals that no single model excels across all dimensions.