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Recuperation de ranking
Retrieval reranking reorders a candidate set returned by a first-stage retriever.
Déglul tegtal biiIA-nettali · ~1 min
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Résumé
A reranker can improve ordering within that set, but cannot add a relevant document that retrieval missed or verify a generated answer.
Plongeur bu xóot
A retrieval pipeline may use a fast retriever to select candidates and a reranker to score the smaller set. Nogueira and Cho describe BERT passage reranking for MS MARCO; later work explores language-model reranking. Reranking changes candidate order, not candidate membership. In retrieval-augmented generation, a reranker cannot recover documents absent from the retrieved pool and does not establish that generated claims are supported.
Doxal ci àdduna dëgg
A first-stage retriever returns candidates, and a cross-encoder scores each query-document pair before final ranking.
A reranker can move a relevant candidate higher when the retriever returned it but ranked it poorly.
A listwise language-model reranker compares candidate passages under a specific prompt and candidate budget.
Evaluate candidate recall separately from final rank quality and generated-claim support.
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Select candidate count and ranking model for the task, then measure retrieval coverage, ranking quality, latency and answer grounding separately. Compare against a first-stage baseline on held-out queries. The cited sources support specific experiments, not a guarantee that reranking reduces hallucinations in every RAG system.
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Take the Retrieval Reranking quiz
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What is Retrieval Reranking?
Retrieval reranking reorders a candidate set returned by a first-stage retriever. A reranker can improve ordering within that set, but cannot add a relevant document that retrieval missed or verify a generated answer.
Lan mooy wareefu reranker ci gasoduc de recuperation?
Reranking mooy ñaareelu pacc bi: dafay jëlaat bu baax kàndidaa yi retriever bu gaaw bi delloo, gëna xéewale ci kaw.
Lan moo wuutale encodeur croisé ak bi-encodeur?
Cross-encoder yi dañuy boole laajte ak këyit daal di leen boole, loolu mooy tax ñu mëna bàyyi seen xel ci cross-attention bi ba noppi gëna dëggu.
Lan moo waral ñuy jëfandikoo cross-encoder ngir reranking moo gën ñuy jëfandikoo ci njëkkante bi?
Ndax laaj bi ak këyit bu nekk dañu wara bokk liggéey, mënoo njëkka xayma vecteur këyit, kon cross-encoder yi duñu def ludul ci benn ensemble kandidaa bu ndaw.
Lan la retriever bu njëkk bi di faral di optimiser?
Retriever bi dafay sànni mbaal mu yaatu te gaaw ngir gëna mëna fàttaliku; reranker bi dafay gëna ñaw ci piscine bi.
How can a reranker affect a RAG candidate set, and what can it not guarantee?
A reranker scores and reorders only the candidates supplied to it. It cannot recover an omitted document, guarantee relevance scores are correct, or verify claims generated from the resulting passages.
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