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VisualAgentBenchgithub.com · Low evidenceVisualAgentBench (VAB) is a benchmark for evaluating and developing large multimodal models as visual foundation agents across embodied, GUI, and visual design tasks. It provides training trajectories and supports open LLMs/LMMs, building on the AgentBench framework with a focus on visual inputs.
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github.com shapes more of what AI says about VisualAgentBench than any other source, at 100% of its citations.