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APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
Deep research agents augment large language models with external tools to answer complex, long-horizon questions through multi-turn reasoning. Learning from prior experience is crucial for continual improvement, yet existing methods either retrieve verbose task-specific traces that burden decision-m
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