RARe adapts retrieval models with retrieved examples
Published on December 1, 2024, the paper presents RARe, a method that uses BM25-retrieved query-document pairs as examples to guide retrieval models.
Source: RARe usa exemplos recuperados para adaptar modelos de retrieval (x.com). Text prepared with AI from this source.
What happened and what to do
Published on December 1, 2024, the paper proposes RARe, which augments queries with instructions and examples of semantically similar query-document pairs retrieved using BM25. According to the reported findings, similar examples outperform random ones, and gains increase as more examples are used, up to the 10 tested. The paper explores in-context examples for retrieval models and reports performance changes, without quantifying them in the supplied text.
A company can test this approach on its own corpus: index relevant examples, retrieve suitable pairs for each query, and measure the effect on result quality. Implementation could include an evaluation pipeline, metrics by query type, and monitoring to detect when retrieved examples help or harm search.
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