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Hugo Queiroz Abonizio
Hugo Queiroz Abonizio
Verified email at dac.unicamp.br
Title
Cited by
Cited by
Year
Language-independent fake news detection: English, Portuguese, and Spanish mutual features
HQ Abonizio, JI De Morais, GM Tavares, S Barbon Junior
Future Internet 12 (5), 87, 2020
79*2020
mmarco: A multilingual version of the ms marco passage ranking dataset
L Bonifacio, V Jeronymo, HQ Abonizio, I Campiotti, M Fadaee, R Lotufo, ...
arXiv preprint arXiv:2108.13897, 2021
602021
Inpars: Unsupervised dataset generation for information retrieval
L Bonifacio, H Abonizio, M Fadaee, R Nogueira
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
592022
Inpars: Data augmentation for information retrieval using large language models
L Bonifacio, H Abonizio, M Fadaee, R Nogueira
arXiv preprint arXiv:2202.05144, 2022
502022
Inpars-v2: Large language models as efficient dataset generators for information retrieval
V Jeronymo, L Bonifacio, H Abonizio, M Fadaee, R Lotufo, J Zavrel, ...
arXiv preprint arXiv:2301.01820, 2023
462023
Toward text data augmentation for sentiment analysis
HQ Abonizio, EC Paraiso, S Barbon
IEEE Transactions on Artificial Intelligence 3 (5), 657-668, 2021
332021
Pre-trained data augmentation for text classification
H Queiroz Abonizio, S Barbon Junior
Brazilian Conference on Intelligent Systems, 551-565, 2020
202020
No parameter left behind: How distillation and model size affect zero-shot retrieval
GM Rosa, L Bonifacio, V Jeronymo, H Abonizio, M Fadaee, R Lotufo, ...
arXiv preprint arXiv:2206.02873, 2022
192022
Deciding among fake, satirical, objective and legitimate news: A multi-label classification system
JI de Morais, HQ Abonizio, GM Tavares, AA da Fonseca, S Barbon Jr
Proceedings of the XV Brazilian Symposium on Information Systems, 1-8, 2019
192019
In defense of cross-encoders for zero-shot retrieval
G Rosa, L Bonifacio, V Jeronymo, H Abonizio, M Fadaee, R Lotufo, ...
arXiv preprint arXiv:2212.06121, 2022
142022
Sabiá: Portuguese large language models
R Pires, H Abonizio, TS Almeida, R Nogueira
Brazilian Conference on Intelligent Systems, 226-240, 2023
122023
Billions of parameters are worth more than in-domain training data: A case study in the legal case entailment task
GM Rosa, L Bonifacio, V Jeronymo, H Abonizio, R Lotufo, R Nogueira
arXiv preprint arXiv:2205.15172, 2022
122022
Walkability variables: an empirical study in Rolândia-PR, Brazil
ALF Leão, HQ Abonizio, RS Reis, M Kanashiro
Ambiente Construído 20, 475-488, 2020
62020
Thales Sales Almeida, and Rodrigo Nogueira. 2023. Sabiá: Portuguese large language models
R Pires, H Abonizio
Intelligent Systems, 226-240, 0
5
Inpars toolkit: A unified and reproducible synthetic data generation pipeline for neural information retrieval
H Abonizio, L Bonifacio, V Jeronymo, R Lotufo, J Zavrel, R Nogueira
arXiv preprint arXiv:2307.04601, 2023
42023
How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case
HQ Abonizio, APA da Costa Barbon, R Rodrigues, M Santos, ...
International Journal of Medical Informatics 177, 105134, 2023
32023
A multi-label classification system to distinguish among fake, satirical, objective and legitimate news in brazilian portuguese
JI de Morais, HQ Abonizio, GM Tavares, AA da Fonseca, S Barbon Jr
iSys-Brazilian Journal of Information Systems 13 (4), 126-149, 2020
22020
Sabiá-2: A New Generation of Portuguese Large Language Models
T Sales Almeida, H Abonizio, R Nogueira, R Pires
arXiv e-prints, arXiv: 2403.09887, 2024
2024
Evaluating GPT-4's Vision Capabilities on Brazilian University Admission Exams
R Pires, TS Almeida, H Abonizio, R Nogueira
arXiv preprint arXiv:2311.14169, 2023
2023
MonoByte: A Pool of Monolingual Byte-level Language Models
H Abonizio, LR de Souza, R Lotufo, R Nogueira
arXiv preprint arXiv:2209.11035, 2022
2022
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