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Vitor Jeronymo
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Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval


Apr 03, 2023
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang

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NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval


Mar 28, 2023
Vitor Jeronymo, Roberto Lotufo, Rodrigo Nogueira

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InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval


Jan 14, 2023
Vitor Jeronymo, Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, Roberto Lotufo, Jakub Zavrel, Rodrigo Nogueira

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In Defense of Cross-Encoders for Zero-Shot Retrieval


Dec 12, 2022
Guilherme Rosa, Luiz Bonifacio, Vitor Jeronymo, Hugo Abonizio, Marzieh Fadaee, Roberto Lotufo, Rodrigo Nogueira

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* arXiv admin note: substantial text overlap with arXiv:2206.02873 
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mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark


Sep 27, 2022
Vitor Jeronymo, Mauricio Nascimento, Roberto Lotufo, Rodrigo Nogueira

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* 4 pages 
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A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022


Aug 09, 2022
Vitor Jeronymo, Guilherme Rosa, Surya Kallumadi, Roberto Lotufo, Rodrigo Nogueira

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No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval


Jun 06, 2022
Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo, Hugo Abonizio, Marzieh Fadaee, Roberto Lotufo, Rodrigo Nogueira

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Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task


May 30, 2022
Guilherme Moraes Rosa, Luiz Bonifacio, Vitor Jeronymo, Hugo Abonizio, Roberto Lotufo, Rodrigo Nogueira

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