Primary sourceArtificial Analysis
View sourceEvent ·Multi-source
AA-PersonalityBench 统计:GLM-5.3 平均每条回复用 7.4 个破折号居首
Artificial Analysis 在 AA-PersonalityBench 中统计了各模型回复中破折号(em dash)的使用频率。GLM-5.3 平均每条回复使用 7.4 个破折号,GLM-5.3-Flash 为 6.9 个,Kimi K3 为 6.7 个。Claude 系列几乎不用:Opus 5.5 平均每 40 条回复不到 1 个(0.02),Sonnet 5.5 与 Haiku 5.5 为 0.00。Claude Fable 5.1 平均 6.4 个,是 Claude 系列中的例外。GPT-3.5 Turbo 为 0.00。
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Artificial Analysis 数了各模型写破折号的频率,GLM-5.3 一条回复平均 7.4 个,Claude Opus 5.5 几乎为零,看你的模型像谁就靠这个。
6 sources33° AI heatLast updated 2026/11/4 17:00:00
Evidence
6 sourcesRelated source 1Thomas Wolf
View sourceRelated source 2AWS Machine Learning Blog
View sourceRelated source 3lmarena.ai
View sourceRelated source 4marktechpost
View sourceRelated source 5elvis
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