HouseholdBench：LLM家庭经济行为预测评测基准

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   arXiv · Computation and Language

   HouseholdBench：评估大语言模型对家庭经济行为的预测能力

   研究者推出评测基准 HouseholdBench，整合 6 项美国家庭调查与 32 项预测任务，覆盖消费、收入、劳动、预期与住房等数值、类别和概率结果。评测显示，多数专有与开源 LLM 优于无变化基线，最佳模型将数值结果误差降低 12.2%，但梯度提升树在多数任务中仍居第一，领先专有 LLM 接近其表现，开源模型落后。

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