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Domain-matched Pre-training Tasks for Dense Retrieval.

, , , , , , , , , , and . NAACL-HLT (Findings), page 1524-1534. Association for Computational Linguistics, (2022)

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Domain-matched Pre-training Tasks for Dense Retrieval., , , , , , , , , and 1 other author(s). CoRR, (2021)Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training., , , and . CoRR, (2022)Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , and . CoRR, (2021)Reasoning over Public and Private Data in Retrieval-Based Systems., , , , and . CoRR, (2022)Task-aware Retrieval with Instructions., , , , , , , and . CoRR, (2022)KILT: a Benchmark for Knowledge Intensive Language Tasks., , , , , , , , , and 3 other author(s). NAACL-HLT, page 2523-2544. Association for Computational Linguistics, (2021)Unsupervised Question Decomposition for Question Answering., , , , and . EMNLP (1), page 8864-8880. Association for Computational Linguistics, (2020)Language Models as Knowledge Bases?, , , , , , and . EMNLP/IJCNLP (1), page 2463-2473. Association for Computational Linguistics, (2019)MLQA: Evaluating Cross-lingual Extractive Question Answering., , , , and . ACL, page 7315-7330. Association for Computational Linguistics, (2020)Reasoning over Public and Private Data in Retrieval-Based Systems., , , , and . Trans. Assoc. Comput. Linguistics, (2023)