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Domain-matched Pre-training Tasks for Dense Retrieval., , , , , , , , , and 1 other author(s). NAACL-HLT (Findings), page 1524-1534. Association for Computational Linguistics, (2022)Boosted Dense Retriever., , , , , and . NAACL-HLT, page 3102-3117. Association for Computational Linguistics, (2022)Unsupervised Question Answering by Cloze Translation., , and . ACL (1), page 4896-4910. Association for Computational Linguistics, (2019)Task-aware Retrieval with Instructions., , , , , , , and . ACL (Findings), page 3650-3675. Association for Computational Linguistics, (2023)Improving Wikipedia verifiability with AI., , , , , , , , , and 4 other author(s). Nat. Mac. Intell., 5 (10): 1142-1148 (October 2023)Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models., , , , , , , , and . CoRR, (2024)Autoregressive Search Engines: Generating Substrings as Document Identifiers., , , , , and . NeurIPS, (2022)Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?, , , , , , , , and . EMNLP (Findings), page 250-262. Association for Computational Linguistics, (2022)A Few More Examples May Be Worth Billions of Parameters., , , and . EMNLP (Findings), page 1017-1029. Association for Computational Linguistics, (2022)Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks., , , , , , , , , and 2 other author(s). NeurIPS, (2020)