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English(EN) Query-aware routing for Cross-lingual performance gains in Encoders

新方法通过查询感知路由提升跨语言检索性能

研究人员开发了一种查询感知路由方法,以增强编码器的跨语言检索性能。该方法使用一个低秩适配器,在冻结的文档嵌入上进行训练,该适配器在处理跨语言查询时被激活,而原始编码器则处理同语言查询。SampoTron适配器在Nemotron-3-Embed-1B模型上进行了微调,在一个金融基准测试中,在排名第十时,其归一化折损累积增益(nDCG)相对提高了20.9%,从而提高了英语、芬兰语和瑞典语方向的检索质量。该方法允许在不改变现有文档嵌入向量的情况下实现专门的跨语言能力。 AI

影响 增强了跨语言信息检索能力,可能改进不同语言的搜索和推荐系统。

排序理由 学术论文,详细介绍了改进编码器跨语言检索的新方法。[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 2 个来源。 我们如何撰写摘要 →

新方法通过查询感知路由提升跨语言检索性能

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学术论文,详细介绍了改进编码器跨语言检索的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Akshay Jain, Edward Kim ·

    面向跨语言性能提升的查询感知路由在编码器中的应用

    arXiv:2610.02875v1 Announce Type: cross Abstract: Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language performance. We investigate whether Finnish and Swedish cross-lingual retrieval…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Edward Kim ·

    面向跨语言性能提升的查询感知路由在编码器中的应用

    Multilingual encoders can exhibit reduced retrieval effectiveness when queries and relevant documents differ in language, despite strong same-language performance. We investigate whether Finnish and Swedish cross-lingual retrieval can improve while preserving an encoder's existin…