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Română(RO) KoViDoRe: Korean Visual Document Retrieval

新基准KoViDoRe旨在改进朝鲜语视觉文档检索

研究人员推出了KoViDoRe,这是一个旨在改进朝鲜语视觉文档检索的新基准。该基准通过包含具有复杂布局(如表格和多栏结构)的朝鲜语文档,解决了现有以英语为中心的数据库的局限性。该项目还包括一个大规模训练数据集Ko-VDR Train Public,以帮助开发专门的检索模型,因为目前的多模态模型在此任务上表现出显著的困难。 AI

影响 旨在提高非英语语言和复杂文档结构的模态检索能力。

排序理由 该集群描述了一个特定研究领域(朝鲜语视觉文档检索)的新基准和训练数据集,已在arXiv上发布。

在 arXiv cs.IR (Information Retrieval) 阅读 →

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新基准KoViDoRe旨在改进朝鲜语视觉文档检索

报道来源 [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 Română(RO) · Mujeen Sung ·

    KoViDoRe: 韩国视觉文档检索

    Recent advances in multimodal retrieval have improved the ability to retrieve information from visually rich documents such as PDFs and reports. However, existing benchmarks remain largely centered on English and provide limited coverage of Korean visual documents with complex st…

  2. arXiv cs.CV TIER_1 Română(RO) · Yongbin Choi, Yongwoo Song, Mujeen Sung ·

    KoViDoRe:韩式视觉文档检索

    arXiv:2608.20840v1 Announce Type: cross Abstract: Recent advances in multimodal retrieval have improved the ability to retrieve information from visually rich documents such as PDFs and reports. However, existing benchmarks remain largely centered on English and provide limited c…