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This paper introduces PaperPilot, a multi-turn literature search agent that constructs executable DAGs of search operators and refines workflows through user feedback, achieving significant improvements in retrieval metrics over baseline models.
This paper introduces RODS, a reward-driven online data synthesis method that addresses the depletion of informative samples in static datasets for multi-turn tool-use agent training. It achieves comparable performance to larger offline pipelines with significantly fewer trajectories.