Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual Reasoning

In three linesVisual-Seeker is a multimodal deep search agent that enhances visual reasoning in MLLMs for complex scenarios. The approach uses an active visual reasoning data pipeline and 5K synthetic multimodal trajectories for training. The agent achieves SOTA performance across five multimodal search benchmarks, surpassing some proprietary models.

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