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News/From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents
arxiv
PublishedApril 4, 2026 at 4:00 AM
—neutral

From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.01733v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems critically depend on retrieval quality, yet no systematic comparison of modern retrieval methods exists for heterogeneous documents containing both text and tabular data. We benchmark ten retrieval strateg

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Discussion
Mentioned models
03
  • 01
    BM25
  • 02
    HyDE
  • 03
    Hybrid retrieval
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#information-retrieval#benchmark#financial-qa#retrieval-augmented-generation

No replies yet. Be first.

Mentioned models
03
  • 01
    BM25
  • 02
    HyDE
  • 03
    Hybrid retrieval
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#information-retrieval#benchmark#financial-qa#retrieval-augmented-generation

Related coverage

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1d
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