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English(EN) GRASP: Plan-Guided Graph Retrieval with Adaptive Fusion and Reranking on Semi-Structured Knowledge Bases

GRASP框架推进SKB检索,在STaRK基准测试上提高准确性

研究人员推出GRASP,一个用于从半结构化知识库(SKBs)中检索信息的新型三阶段框架。该系统集成了基于规划的图检索、密集检索器和重排序器,显著提高了检索准确性。GRASP在STaRK基准测试上取得了重大进展,平均Hit@1得分从62.0提高到73.9。 AI

排序理由 该聚类包含一篇详细介绍新检索框架及其基准性能的学术论文。

在 arXiv cs.IR (Information Retrieval) 阅读 →

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GRASP框架推进SKB检索,在STaRK基准测试上提高准确性

报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yicheng Tao, Yiqun Wang, Xiangchen Song, Xin Luo, Kai Liu, Jie Liu ·

    GRASP:在半结构化知识库上进行基于计划引导的图检索,并采用自适应融合和重排序

    arXiv:2605.30237v1 Announce Type: cross Abstract: Semi-structured knowledge bases (SKBs) embed textual documents in a typed graph of entities and relations, and underpin applications such as product search, academic paper search, and precision-medicine inquiries. Existing hybrid …

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jie Liu ·

    GRASP:在半结构化知识库上进行基于规划的图检索,并采用自适应融合和重排序

    Semi-structured knowledge bases (SKBs) embed textual documents in a typed graph of entities and relations, and underpin applications such as product search, academic paper search, and precision-medicine inquiries. Existing hybrid retrieval systems on SKBs either use the graph onl…