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Peking University
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KbSD transforms the way agentic search models navigate knowledge boundaries, achieving substantial accuracy gains even in the most challenging decision-making scenarios.
ScaffoldAgent's utility-guided approach ensures that outlines evolve dynamically, leading to superior long-form report generation and improved factual accuracy.
LLMs can reason far better on clinical records when demonstrations are selected using a graph-guided approach that combines patient data with LLM-estimated information gain.
