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English(EN) Generating a Consistent Enterprise: Synthesis and Reference-Free Evaluation of Multi-System Business Data

新AI生成器创建逼真的虚构企业数据

研究人员开发了一种新颖的生成器,能够创建完全虚构但一致的企业数据,包括员工、客户群、销售和支持互动。该系统无需依赖任何真实世界数据集即可运行,而是从引用的统计数据中构建逼真度,并采用严格的无参考评估方法。该生成器在逼真度得分方面取得了显著进步,在23家生成公司中平均得分从60.3提高到99.1,其对抗性检测器现在不再标记合成记录。第二个生成器专注于根据业务问题创建关系数据库,确保数据完整性和可控的接近错误。 AI

影响 能够为业务背景下的AI模型训练和测试创建逼真的合成数据集。

排序理由 该项目描述了一篇研究论文,其中详细介绍了一种生成合成数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新AI生成器创建逼真的虚构企业数据

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该项目描述了一篇研究论文,其中详细介绍了一种生成合成数据的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Benjamin Gruenbaum, Doron Porat, Assaf Natanzon, Roy Zavida, Chen Dinachi, Or Itzahary, Omer Niv ·

    生成一致性企业:多系统业务数据的综合与无参考评估

    arXiv:2609.11286v1 Announce Type: new Abstract: Synthetic relational data is normally produced by a model trained on a real dataset, and its quality is measured as the distance to that dataset. This paper describes a generator that has no real dataset at either end. Given an indu…