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English(EN) Towards automated data analysis: A guided framework for LLM-based risk estimation

LLM引导式框架自动化数据集风险估算

研究人员开发了一个框架,通过将大型语言模型(LLM)与人类指导相结合来估算与数据集相关的风险。该方法旨在自动化数据分析,而目前这是一个手动且耗时的过程。该系统使用LLM分析数据库模式,建议聚类技术,生成代码并解释结果,并由人类监督员确保完整性和与目标的对齐。概念验证证明了该框架在风险评估中的有效性。 AI

影响 自动化数据集风险分析,可能提高AI决策流程的安全性与可靠性。

排序理由 该集群包含一篇学术论文,详细介绍了使用LLM进行数据集风险估算的新框架。[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 →

LLM引导式框架自动化数据集风险估算

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该集群包含一篇学术论文,详细介绍了使用LLM进行数据集风险估算的新框架。[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) · Panteleimon Rodis ·

    迈向自动化数据分析:基于LLM的风险估算的指导框架

    arXiv:2603.04631v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly integrated into critical decision-making pipelines, a trend that raises the demand for robust and automated data analysis. Current approaches to dataset risk analysis are limited to …