arXiv: cs.AI preprintsInternational5 November 2026
ModalSearcher: Weaving Visual Evidence into Autonomous Cross-Modal Deep Search
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arXiv:2611.06131v1 Announce Type: new Abstract: Static and incomplete parametric knowledge limits the performance of multimodal large language models on novel-knowledge and knowledge-intensive tasks, especially those requiring multi-hop evidence acquisition. Existing multimodal agentic search methods often fix visual evidence at the input or a predefined trajectory position, making it difficult for agents to select search modalities as their information needs evolve and to handle complex real-world queries. We define this capability as autonomous cross-modal search: an agent chooses among dire
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