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Findings show answer-only evaluation obscures important grounding failures and position ANCHOR as a testbed for evaluating accurate and evidence-aligned audio-visual reasoning.
OmniSeek is presented, an agentic framework that transforms an Omni Large Language Model into an active, multi-turn reasoning agent with native tool use that learns adaptive cross-modal evidence seeking and consistently improves audio-visual reasoning performance.
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