Hugo Queiroz Abonizio

According to our database, Hugo Queiroz Abonizio authored at least 30 papers between 2019 and 2026.

Collaborative distances:

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

2026

LLM-Based Persuasion Enables Guardrail Override in Frontier LLMs.

Rodrigo Nogueira, Thales Sales Almeida, Giovana Kerche Bonás, André Roque, Ramon Pires, Hugo Queiroz Abonizio, Thiago Soares Laitz, Celio Larcher, Roseval Malaquias Junior, Marcos Piau

CoRR, May, 2026

Magis-Bench: Evaluating LLMs on Magistrate-Level Legal Tasks.

Ramon Pires, Thales Sales Almeida, Celio Larcher Junior, Giovana Kerche Bonás, Hugo Queiroz Abonizio, Marcos Piau, Roseval Malaquias Junior, Thiago Soares Laitz, Rodrigo Nogueira

CoRR, May, 2026

Prosa: Rubric-Based Evaluation of LLMs on Real User Chats in Brazilian Portuguese.

Roseval Malaquias Junior, Giovana Kerche Bonás, Thales Sales Almeida, Hugo Queiroz Abonizio, Thiago Soares Laitz, Ramon Pires, Marcos Piau, Celio Larcher, Rodrigo Nogueira

CoRR, May, 2026

Teaching LLMs Brazilian Healthcare: Injecting Knowledge from Official Clinical Guidelines.

Hugo Queiroz Abonizio, Filipe Rocha Lopes, Roberto A. Lotufo, Rodrigo Nogueira

CoRR, May, 2026

Measuring Opinion Bias and Sycophancy via LLM-based Persuasion.

Rodrigo Nogueira, Giovana Kerche Bonás, Thales Sales Almeida, André Roque, Ramon Pires, Hugo Queiroz Abonizio, Thiago Soares Laitz, Celio Larcher, Roseval Malaquias Junior, Marcos Piau

CoRR, April, 2026

MARCA: A Checklist-Based Benchmark for Multilingual Web Search.

Thales Sales Almeida, Giovana Kerche Bonás, Ramon Pires, Celio Larcher, Hugo Queiroz Abonizio, Marcos Piau, Roseval Malaquias Junior, Rodrigo Nogueira, Thiago Soares Laitz

CoRR, April, 2026

CAPITU: A Benchmark for Evaluating Instruction-Following in Brazilian Portuguese with Literary Context.

Giovana Kerche Bonás, Roseval Malaquias Junior, Marcos Piau, Thiago Soares Laitz, Thales Sales Almeida, Hugo Queiroz Abonizio, Celio Larcher, Ramon Pires, Rodrigo Nogueira

CoRR, March, 2026

Sabiá-4 Technical Report.

Thiago Soares Laitz, Thales Sales Almeida, Hugo Queiroz Abonizio, Roseval Malaquias Junior, Giovana Kerche Bonás, Marcos Piau, Celio Larcher, Ramon Pires, Rodrigo Nogueira

CoRR, March, 2026

2025

Comparing Knowledge Injection Methods for LLMs in a Low-Resource Regime.

Hugo Queiroz Abonizio, Thales Sales Almeida, Roberto A. Lotufo, Rodrigo Nogueira

CoRR, August, 2025

TiEBe: A Benchmark for Assessing the Current Knowledge of Large Language Models.

Thales Sales Almeida, Giovana Kerche Bonás, João Guilherme Alves Santos, Hugo Queiroz Abonizio, Rodrigo Nogueira

CoRR, January, 2025

PoETa v2: Toward More Robust Evaluation of Large Language Models in Portuguese.

Thales Sales Almeida, Ramon Pires, Hugo Queiroz Abonizio, Rodrigo Nogueira, Hélio Pedrini

IEEE Access, 2025

2024

Sabiá-3 Technical Report.

Hugo Queiroz Abonizio, Thales Sales Almeida, Thiago Soares Laitz, Roseval Malaquias Junior, Giovana Kerche Bonás, Rodrigo Nogueira, Ramon Pires

CoRR, 2024

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

Thales Sales Almeida, Hugo Queiroz Abonizio, Rodrigo 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 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 A. Lotufo, Jakub Zavrel, Rodrigo Nogueira

CoRR, 2023

Sabiá: Portuguese Large Language Models.

Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo 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 A. Lotufo, Jakub Zavrel, Rodrigo Nogueira

CoRR, 2023

🐦 Sabiá: Portuguese Large Language Models.

Ramon Pires, Hugo Queiroz Abonizio, Thales Sales Almeida, Rodrigo 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 A. Lotufo, Rodrigo 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 A. Lotufo, Rodrigo 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 A. Lotufo, Rodrigo Nogueira

CoRR, 2022

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

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

CoRR, 2022

InPars: Unsupervised Dataset Generation for Information Retrieval.

Luiz Henrique Bonifacio, Hugo Queiroz Abonizio, Marzieh Fadaee, Rodrigo 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 A. Lotufo, Rodrigo 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