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We propose a simple and effective re-ranking method for improving passage retrieval in open question answering.
A language modeling approach to information retrieval
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Simple entity-centric questions challenge dense retrievers
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BEIR: A heterogeneous benchmark for zero-shot evaluation of information retrieval models
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Multi-vector attention models for deep re-ranking
Giulio Zhou and Jacob Devlin. 2021 · 2021
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PaLM: Scaling language modeling with pathways
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Mention memory: incorporating textual knowledge into transformers through entity mention attention
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Unsupervised dense information retrieval with contrastive learning
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Multitask prompted training enables zero-shot task generalization
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Finetuned language models are zero-shot learners
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