Lena 和 Miles 揭秘大模型评估中被忽视的统计误差,指出榜单微弱分差可能只是随机噪音。通过引入置信区间和配对实验等科学方法,教你如何穿透排名乱象,看清模型真正的技术实力。

评估模型其实是一场统计实验,但大家现在玩得太粗糙了。我们真正关心的不只是模型在固定题库里的得分,而是它处理所有可能任务的真实期望水平。
https://arxiv.org/pdf/2411.00640


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