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ProRetrieval outperforms state-of-the-art models by synthesizing executable retrieval programs that seamlessly combine structured and unstructured data queries.
A single grid image can streamline document-level visual retrieval, slashing storage needs by over 10x while boosting retrieval performance.
State information in LLM-driven agents can be exploited, turning their task execution capabilities into a potential attack surface.
