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English(EN) LOGIC: An LLM Benchmark for Intent-Grounded Change Impact in Aerospace Electrical Systems

新的LOGIC基准测试用于评估大语言模型在航空航天电气系统设计变更中的能力

研究人员推出了一款名为LOGIC的新基准测试,旨在评估大语言模型(LLMs)在航空航天领域的表现。该基准测试侧重于LLMs在区分真实修改和已授权修改方面,准确识别和传播电气系统设计中仅意图驱动的变更的能力。LOGIC包含168个场景,用于测试LLMs在传播变更前,将其请求与变更清单进行关联的能力,从而区分选择错误和传播错误。 AI

影响 该基准测试有望提高LLM在航空航天等关键工程领域应用的准确性和安全性。

排序理由 该集群描述了一个新的基准测试和评估框架,用于特定领域的大语言模型,并以学术论文的形式呈现。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的LOGIC基准测试用于评估大语言模型在航空航天电气系统设计变更中的能力

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该集群描述了一个新的基准测试和评估框架,用于特定领域的大语言模型,并以学术论文的形式呈现。[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) · Muhammad Faraz Shoaib, Muhammad Qasim, Raisulhaq Mohammed Rizwan, Rahmatullah Safdar, Muzammil Adnan Shaik, Abdul Aleem Mohammed ·

    LOGIC:航空航天电气系统中基于意图的变更影响的LLM基准测试

    arXiv:2610.07580v1 Announce Type: new Abstract: Aerospace electrical-design revisions can contain multiple genuine changes, although an engineering request may authorize only a subset. Propagating every detected difference can therefore produce overly broad impact reports. We pre…