WorldAuditBench tests multimodal agents on 213 3D world-auditing tasks: best model 42.3% vs. humans 83.4%
The authors built WorldAuditBench, a benchmark of 213 tasks across 13 Unreal Engine 5 and Three.js environments and five anomaly families for interactive 3D world auditing, and compared a single-model VLM agent with a two-stage VLA–VLM auditor, finding VLM agents reach 28.2%–42.3% success versus 6.6%–17.4% for two-stage auditors, both far below the 83.4% human rate.