AI RESEARCH
A Benchmark for Interactive World Models with a Unified Action Generation Framework
arXiv CS.CV
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ArXi:2605.03941v1 Announce Type: new Achieving Artificial General Intelligence (AGI) requires agents that learn and interact adaptively, with interactive world models providing scalable environments for perception, reasoning, and action. Yet current research still lacks large-scale datasets and unified benchmarks to evaluate their physical interaction capabilities. To address this, we propose iWorld-Bench, a comprehensive benchmark for