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InPars: Data Augmentation for Information Retrieval using Large Language Models., , , and . CoRR, (2022)A Study on the Impact of Intradomain Finetuning of Deep Language Models for Legal Named Entity Recognition in Portuguese., , , and . BRACIS, volume 12319 of Lecture Notes in Computer Science, page 648-662. Springer, (2020)In Defense of Cross-Encoders for Zero-Shot Retrieval., , , , , , and . CoRR, (2022)InPars: Unsupervised Dataset Generation for Information Retrieval., , , and . SIGIR, page 2387-2392. ACM, (2022)InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval., , , , , , and . CoRR, (2023)Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task., , , , , and . CoRR, (2022)NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost., , , , , and . DESIRES, volume 3480 of CEUR Workshop Proceedings, page 40-52. CEUR-WS.org, (2022)A cost-benefit analysis of cross-lingual transfer methods., , , , and . CoRR, (2021)mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset., , , and . CoRR, (2021)No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval., , , , , , and . CoRR, (2022)