NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval von Jeronymo, Vitor, Lotufo, Roberto, Nogueira, Rodrigo

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mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark von Jeronymo, Vitor, Nascimento, Mauricio, Lotufo, Roberto, Nogueira, Rodrigo

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A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022 von Jeronymo, Vitor, Rosa, Guilherme, Kallumadi, Surya, Lotufo, Roberto, Nogueira, Rodrigo

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InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval von Abonizio, Hugo, Bonifacio, Luiz, Jeronymo, Vitor, Lotufo, Roberto, Zavrel, Jakub, Nogueira, Rodrigo

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InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval von Jeronymo, Vitor, Bonifacio, Luiz, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Zavrel, Jakub, Nogueira, Rodrigo

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In Defense of Cross-Encoders for Zero-Shot Retrieval von Rosa, Guilherme, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval von Jeronymo, Vitor, Lotufo, Roberto, Nogueira, Rodrigo

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No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval von Rosa, Guilherme Moraes, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task von Rosa, Guilherme Moraes, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Lotufo, Roberto, Nogueira, Rodrigo

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mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset von Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo Queiroz, Campiotti, Israel, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval von Lin, Jimmy, Alfonso-Hermelo, David, Jeronymo, Vitor, Kamalloo, Ehsan, Lassance, Carlos, Nogueira, Rodrigo, Ogundepo, Odunayo, Rezagholizadeh, Mehdi, Thakur, Nandan, Yang, Jheng-Hong, Zhang, Xinyu

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mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark von Jeronymo, Vitor, Nascimento, Mauricio, Lotufo, Roberto, Nogueira, Rodrigo

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A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022 von Jeronymo, Vitor, Rosa, Guilherme, Kallumadi, Surya, Lotufo, Roberto, Nogueira, Rodrigo

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InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval von Abonizio, Hugo, Bonifacio, Luiz, Jeronymo, Vitor, Lotufo, Roberto, Zavrel, Jakub, Nogueira, Rodrigo

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InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval von Jeronymo, Vitor, Bonifacio, Luiz, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Zavrel, Jakub, Nogueira, Rodrigo

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In Defense of Cross-Encoders for Zero-Shot Retrieval von Rosa, Guilherme, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval von Guilherme Moraes Rosa, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset von Bonifacio, Luiz, Jeronymo, Vitor, Hugo Queiroz Abonizio, Campiotti, Israel, Fadaee, Marzieh, Lotufo, Roberto, Nogueira, Rodrigo

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Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task von Guilherme Moraes Rosa, Bonifacio, Luiz, Jeronymo, Vitor, Abonizio, Hugo, Lotufo, Roberto, Nogueira, Rodrigo

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Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval von Lin, Jimmy, Alfonso-Hermelo, David, Jeronymo, Vitor, Kamalloo, Ehsan, Lassance, Carlos, Nogueira, Rodrigo, Ogundepo, Odunayo, Rezagholizadeh, Mehdi, Thakur, Nandan, Jheng-Hong Yang, Zhang, Xinyu

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