Pedro Henrique Paiola

@fc.unesp.br

Departamento de Computação, Faculdade de Ciência, Campus de Bauru
UNESP

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Computer Science, Logic
111

Scholar Citations

5

Scholar h-index

3

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Retrieval-Augmented Generation for Clinical Question Answering in Portuguese Drug Leaflets: Benefits and Limitations
    GL Garcia, PH Paiola, JVM Correia, D Rodrigues, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026
  • Class of LLMs: Benchmarking Large Language Models on the Brazilian National Medical Examination
    JVM Correia, PHA de Castro, GL Garcia, PH Paiola, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026
  • Think Portuguese with Bode Reasoning
    GL Garcia, AF Schuck, JRR Manesco, PH Paiola, LA Passos, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026
  • Explorando abordagens sem normalização para inferência eficiente em grandes modelos de linguagem
    DG Candido
    Universidade Estadual Paulista (Unesp) , 2025
    2025
  • Construção de agente inteligente para a resolução de questões de vestibular com LLM
    SA Rosa
    Universidade Estadual Paulista (Unesp) , 2025
    2025
  • Question-answering com modelos de linguagem baseada na abordagem de estudo com flashcards
    VC Silveira
    Universidade Estadual Paulista (Unesp) , 2025
    2025
  • Abstractive Summarization with LLMs for Texts in Brazilian Portuguese
    HAPG de Camargo, PH Paiola, GL Garcia, JP Papa
    Journal of the Brazilian Computer Society 31 (1), 1031-1049 , 2025
    2025
    Citations: 2
  • Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs
    A da Fonseca Schuck, GL Garcia, JRR Manesco, PH Paiola, JP Papa
    Journal of the Brazilian Computer Society 31 (1), 885-917 , 2025
    2025
  • The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese
    PH Paiola, GL Garcia, JVM Correia, JRR Manesco, ALA Garcia, JP Papa
    Journal of the Brazilian Computer Society 31 (1), 918-939 , 2025
    2025
    Citations: 2
  • Enhancing Governance and Explainability in Large Language Models: A Framework for Interpretability-Driven Decision-Making
    PH Paiola, GL Garcia, JRR Manesco, L Miranda, MP de Salvo, JP Papa
    2025 IEEE 9th Forum on Research and Technologies for Society and Industry … , 2025
    2025
  • A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
    GL Garcia, JRR Manesco, PH Paiola, L Miranda, MP de Salvo, JP Papa
    arXiv preprint arXiv:2412.03531 , 2024
    2024
    Citations: 17
  • A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
    G Lino Garcia, JR Ribeiro Manesco, PH Paiola, L Miranda, MP de Salvo, ...
    arXiv e-prints, arXiv: 2412.03531 , 2024
    2024
  • Comparison of Relation Extraction Models for Generating Knowledge Graphs in the Oil Drilling Domain
    GHG Ticianeli, AC Junior, IR Guilherme, BE Penteado, SR Perrout, ...
    Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 707-718 , 2024
    2024
  • Hate Speech Detection in Portuguese Using BERTimbau
    JORF Frediani, GL Garcia, PH Paiola, LA Passos, JP Papa, AN Marana
    Iberoamerican Congress on Pattern Recognition, 244-255 , 2024
    2024
  • GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese
    GL Garcia, PH Paiola, E Garcia, JR Ribeiro Manesco, JP Papa
    Iberoamerican Congress on Pattern Recognition, 228-243 , 2024
    2024
    Citations: 4
  • Impact of Quantization on Large Language Models for Portuguese Classification Tasks
    DS Jodas, GL Garcia, PH Paiola, JR Ribeiro Manesco, JP Papa
    Iberoamerican Congress on Pattern Recognition, 213-227 , 2024
    2024
    Citations: 2
  • Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
    PH Paiola, GL Garcia, JRR Manesco, M Roder, D Rodrigues, JP Papa
    arXiv preprint arXiv:2410.00163 , 2024
    2024
    Citations: 9
  • Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset
    GL Garcia, PH Paiola, DS Jodas, LA Sugi, JP Papa
    Proceedings of the 16th International Conference on Computational Processing … , 2024
    2024
    Citations: 16
  • RecognaSumm: A Novel Brazilian Summarization Dataset
    PH Paiola, GL Garcia, DS Jodas, JVM Correia, LA Sugi, JP Papa
    Proceedings of the 16th International Conference on Computational Processing … , 2024
    2024
    Citations: 9
  • Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
    GL Garcia, PH Paiola, LH Morelli, G Candido, AC Júnior, DS Jodas, ...
    arXiv preprint arXiv:2401.02909 , 2024
    2024
    Citations: 33

MOST CITED SCHOLAR PUBLICATIONS

  • Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
    GL Garcia, PH Paiola, LH Morelli, G Candido, AC Júnior, DS Jodas, ...
    arXiv preprint arXiv:2401.02909 , 2024
    2024.0
    Citations: 33
  • A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
    GL Garcia, JRR Manesco, PH Paiola, L Miranda, MP de Salvo, JP Papa
    arXiv preprint arXiv:2412.03531 , 2024
    2024.0
    Citations: 17
  • Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset
    GL Garcia, PH Paiola, DS Jodas, LA Sugi, JP Papa
    Proceedings of the 16th International Conference on Computational Processing … , 2024
    2024.0
    Citations: 16
  • Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
    PH Paiola, GL Garcia, JRR Manesco, M Roder, D Rodrigues, JP Papa
    arXiv preprint arXiv:2410.00163 , 2024
    2024.0
    Citations: 9
  • RecognaSumm: A Novel Brazilian Summarization Dataset
    PH Paiola, GL Garcia, DS Jodas, JVM Correia, LA Sugi, JP Papa
    Proceedings of the 16th International Conference on Computational Processing … , 2024
    2024.0
    Citations: 9
  • Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. ar-Xiv preprint
    GL Garcia, PH Paiola, LH Morelli, G Candido, AC Júnior, DS Jodas, ...
    arXiv preprint arXiv:2401.02909 , 2024
    2024.0
    Citations: 5
  • GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese
    GL Garcia, PH Paiola, E Garcia, JR Ribeiro Manesco, JP Papa
    Iberoamerican Congress on Pattern Recognition, 228-243 , 2024
    2024.0
    Citations: 4
  • Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts
    PH Paiola, GH de Rosa, JP Papa
    Brazilian Conference on Intelligent Systems, 479-493 , 2022
    2022.0
    Citations: 4
  • A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline
    GL Garcia, JRR Manesco, PH Paiola, PHC Ribeiro, ALA Garcia, JP Papa
    Citations: 4
  • Abstractive Summarization with LLMs for Texts in Brazilian Portuguese
    HAPG de Camargo, PH Paiola, GL Garcia, JP Papa
    Journal of the Brazilian Computer Society 31 (1), 1031-1049 , 2025
    2025.0
    Citations: 2
  • The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese
    PH Paiola, GL Garcia, JVM Correia, JRR Manesco, ALA Garcia, JP Papa
    Journal of the Brazilian Computer Society 31 (1), 918-939 , 2025
    2025.0
    Citations: 2
  • Impact of Quantization on Large Language Models for Portuguese Classification Tasks
    DS Jodas, GL Garcia, PH Paiola, JR Ribeiro Manesco, JP Papa
    Iberoamerican Congress on Pattern Recognition, 213-227 , 2024
    2024.0
    Citations: 2
  • Sumarização abstrativa de textos em português utilizando aprendizado de máquina
    PH Paiola
    Universidade Estadual Paulista (Unesp) , 2022
    2022.0
    Citations: 2
  • Métodos de Aprendizado de Máquina Adversariais na Detecção de Anomalias em Redes de Computadores
    LF de Camargo, C Reis, PH Paiola, JP Papa, JRF Brega, KAP da Costa
    Anais do XXI Simpósio Brasileiro em Segurança da Informação e de Sistemas … , 2021
    2021.0
    Citations: 1
  • Lógica intuicionista I1: correção e completude
    PH Paiola, H de Araujo Feitosa
    CQD-Revista Eletrônica Paulista de Matemática , 2020
    2020.0
    Citations: 1
  • Retrieval-Augmented Generation for Clinical Question Answering in Portuguese Drug Leaflets: Benefits and Limitations
    GL Garcia, PH Paiola, JVM Correia, D Rodrigues, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026.0
  • Class of LLMs: Benchmarking Large Language Models on the Brazilian National Medical Examination
    JVM Correia, PHA de Castro, GL Garcia, PH Paiola, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026.0
  • Think Portuguese with Bode Reasoning
    GL Garcia, AF Schuck, JRR Manesco, PH Paiola, LA Passos, JP Papa
    Proceedings of the 17th International Conference on Computational Processing … , 2026
    2026.0
  • Explorando abordagens sem normalização para inferência eficiente em grandes modelos de linguagem
    DG Candido
    Universidade Estadual Paulista (Unesp) , 2025
    2025.0
  • Construção de agente inteligente para a resolução de questões de vestibular com LLM
    SA Rosa
    Universidade Estadual Paulista (Unesp) , 2025
    2025.0