arXiv: cs.AI preprintsInternational5 November 2026
EviSeek: An Evidence-Centric Agentic Framework for Embodied Active Information Seeking
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arXiv:2611.06434v1 Announce Type: new Abstract: Active embodied question answering requires agents to acquire evidence through viewpoint changes and physical interaction. The central challenge is to avoid undirected interaction: taking plausible actions without specifying what evidence they should reveal for answering the question. Action plans and accumulated histories alone can leave the informational purpose of an interaction implicit. We introduce EviSeek, a training-free framework that makes question-derived evidence demands explicit acquisition objectives, linking observation-conditioned
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