English(EN) RAGFlip: Measuring Query-Level Negative Flips in Retriever Upgrades

RAGFlip论文衡量检索器升级中的负面翻转

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 19:09

一项新的研究论文RAGFlip引入了一种评估检索器升级的方法，重点关注查询级负面翻转。当新的检索器未能找到先前检索器（如BM25）成功识别的相关段落时，就会发生这种翻转。研究发现，所有评估的替换检索器（BGE-large、E5-large-v2和SPLADE）都提高了整体覆盖率，但在各种数据集和深度上仍然表现出负面翻转。这些回归尤其在较小的检索深度下更为显著，突显了在检索器评估中，除了聚合指标外，还需要查询级兼容性。 AI

影响引入了一种新的检索器性能评估指标，有可能提高依赖信息检索的AI系统的鲁棒性。

排序理由在arXiv上发表的研究论文，详细介绍了一种新的信息检索系统评估方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Tool; 在arXiv上发表的研究论文，详细介绍了一种新的信息检索系统评估方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Muhammad Arif · 2026-10-05 19:09

RAGFlip：衡量检索器升级中查询级别的负面翻转

Retriever upgrades are typically evaluated using aggregate metrics, which can hide regressions on queries the previous retriever already served correctly. We study these regressions as negative flips: queries for which BM25 retrieves a judged relevant passage and the replacement …

本文如何被排名

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RAGFlip：衡量检索器升级中查询级别的负面翻转

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