1. 概述 SimpleQA是由OpenAI开发的一个新型基准测试集，专门用于评估大语言模型(LLMs)在回答简短、事实性问题时的表现。该测试集包含4,326个精心设计的问题，每个问题都经过严格验证，确保只有一个无争议的标准答案。 2. 数据集特征分析 2.1 主题分布 如上图所示，SimpleQA涵盖了广泛的知识领域，其中： 2.2 答案类型分布 根据统计分析： 3. 评估方法论 3.1 评分系统 采用三级评分机制： 3.2 性能指标 主要评估指标包括： 4. 模型性能比较 如性能对比图所示，不同模型表现差异显著： 4.1 最佳表现 4.2 模型特点分析 5. 校准性研究 如校准曲线图所示： 5.1

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