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English(EN) Text2GraphQuery-Bench: A Text to Graph Query Benchmark

新的基准测试评估自然语言到图查询的翻译

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了 Text2GraphQuery-Bench，这是一个新颖的基准测试，旨在评估将自然语言转换为可执行图查询的系统。该基准测试是第一个涵盖主流声明式属性图查询语言的基准测试，包括 Cypher、GQL 和 SQL/PGQ。它包含 34 个数据库和 13 个领域的 267,000 多个问答对，支持适应和扩展到新语言。 AI

影响 该基准测试旨在通过支持自然语言接口来提高图数据库的可用性，从而可能扩大非技术用户的访问范围。

排序理由 该项目是一篇介绍用于评估人工智能系统的新基准测试的研究论文。[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 →

新的基准测试评估自然语言到图查询的翻译

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该项目是一篇介绍用于评估人工智能系统的新基准测试的研究论文。[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) · Songlin Lyu, Lujie Ban, Zihang Wu, Tianqi Luo, Jirong Liu, Ayoub Moussaid, Oskar van Rest, Heng Lin, Chenhao Ma, Nan Tang, Shipeng Qi, Yongchao Liu, Zhan Qiu, Juelu Zhang, Jiajun Zheng ·

    Text2GraphQuery-Bench：文本到图查询基准测试

    arXiv:2602.11745v2 Announce Type: replace Abstract: Graph models are fundamental to data analysis in domains rich with complex relationships. Unlike SQL, which benefits from a rel- atively unified standard and widespread familiarity, graph query languages are diverse (e.g., Cyphe…

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