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Passage Retrieval On Entityquestions

Métriques

Recall@20

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Recall@20
Paper TitleRepository
Zero-NeR0.671Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?-
BM250.720Simple Entity-Centric Questions Challenge Dense Retrievers
TOME-20.838Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
DPR-multi0.567Simple Entity-Centric Questions Challenge Dense Retrievers
DPR-NQ0.497Simple Entity-Centric Questions Challenge Dense Retrievers
Contriever0.647Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?-
SPAR-PAQ0.740Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
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