AI RESEARCH
EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
arXiv CS.AI
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ArXi:2605.27820v1 Announce Type: new As AI agents increasingly operate in open, real-world environments, they require a deep synergy of multimodal perception, tool invocation with multi-hop reasoning, and dynamic interaction with users. However, existing benchmarks fail to jointly evaluate these capabilities due to challenges in designing strictly coupled multi-capability tasks, simulating natural and task-constrained user feedback, and ensuring objective evaluation of dynamic interaction. To bridge this gap, we