Hugo Queiroz Abonizio

According to our database, Hugo Queiroz Abonizio authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sabiá-2: A New Generation of Portuguese Large Language Models.

Thales Sales Almeida, Hugo Queiroz Abonizio, Rodrigo Frassetto Nogueira, Ramon Pires

CoRR, 2024

2023

How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case.

Hugo Queiroz Abonizio, Ana Paula A. C. Barbon, Renne Rodrigues, Mayara Santos, Vicente Martínez-Vizcaíno, Arthur Eumann Mesas, Sylvio Barbon Junior

Int. J. Medical Informatics, September, 2023

Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams.

Ramon Pires, Thales Sales Almeida, Hugo Queiroz Abonizio, Rodrigo Frassetto Nogueira

CoRR, 2023

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval.

Hugo Queiroz Abonizio, Luiz Henrique Bonifacio, Vitor Jeronymo, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira

CoRR, 2023

Sabiá: Portuguese Large Language Models.

Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo Frassetto Nogueira

CoRR, 2023

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

Vitor Jeronymo, Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Jakub Zavrel, Rodrigo Frassetto Nogueira

CoRR, 2023

[inline-graphic not available: see fulltext] Sabiá: Portuguese Large Language Models.

Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo Frassetto Nogueira

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Toward Text Data Augmentation for Sentiment Analysis.

Hugo Queiroz Abonizio, Emerson Cabrera Paraiso, Sylvio Barbon

IEEE Trans. Artif. Intell., 2022

In Defense of Cross-Encoders for Zero-Shot Retrieval.

Guilherme Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

CoRR, 2022

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

Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Marzieh Fadaee, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

CoRR, 2022

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

Guilherme Moraes Rosa, Luiz Henrique Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

CoRR, 2022

InPars: Data Augmentation for Information Retrieval using Large Language Models.

Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira

CoRR, 2022

InPars: Unsupervised Dataset Generation for Information Retrieval.

Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo Frassetto Nogueira

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MonoByte: A Pool of Monolingual Byte-level Language Models.

Hugo Queiroz Abonizio, Leandro Rodrigues de Souza, Roberto de Alencar Lotufo, Rodrigo Frassetto Nogueira

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Braz. J. Inf. Syst., 2020

Language-Independent Fake News Detection: English, Portuguese, and Spanish Mutual Features.

Hugo Queiroz Abonizio, Janaína Ignácio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior

Future Internet, 2020

Pre-trained Data Augmentation for Text Classification.

Hugo Queiroz Abonizio, Sylvio Barbon Junior

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020

2019

Deciding among Fake, Satirical, Objective and Legitimate news: A multi-label classification system.

Janaína Ignácio de Morais, Hugo Queiroz Abonizio, Gabriel Marques Tavares, André Azevedo da Fonseca, Sylvio Barbon Jr.

Proceedings of the XV Brazilian Symposium on Information Systems, 2019