评分 5.5 · 来源：cs.AI updates on arXiv.org · 发布于 2026-04-17
评分依据：Real-world field work benchmark for agents, moves beyond digital-only agent evaluation
arXiv:2505.19662v3 Announce Type: replace Abstract: This paper introduces FieldWorkArena, a benchmark for agentic AI targeting real-world field work. With the recent increase in demand for agentic AI, they are built to detect and document safety hazards, procedural violations, and other critical incidents across real-world manufacturing and retail environments. Whereas most agentic AI benchmarks focus on performance in simulated or digital environments, our work addresses the fundamental challenge of evaluating agents in the real-world.