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University of Science and Technology of China
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DART-SD reveals that leveraging diamond-topology awareness can drastically improve policy diversity and performance in multi-turn tool-calling agents.
ProMSA achieves superior accuracy in KB-VQA by dynamically selecting retrieval strategies, outperforming traditional fixed pipelines.
Forget fixed pipelines: training an agent to *learn* when and how to search for knowledge dramatically improves performance on knowledge-based visual question answering.
