Pedro H. Paiola

Orcid: 0000-0001-9093-535X

According to our database1, Pedro H. Paiola authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Think Portuguese with Bode Reasoning.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

Retrieval-Augmented Generation for Clinical Question Answering in Portuguese Drug Leaflets: Benefits and Limitations.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

Class of LLMs: Benchmarking Large Language Models on the Brazilian National Medical Examination.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

2025
Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs.
J. Braz. Comput. Soc., 2025

The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese.
J. Braz. Comput. Soc., 2025

Abstractive Summarization with LLMs for Texts in Brazilian Portuguese.
J. Braz. Comput. Soc., 2025

Enhancing Governance and Explainability in Large Language Models: A Framework for Interpretability-Driven Decision-Making.
Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences.
CoRR, 2024

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation.
CoRR, 2024

Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task.
CoRR, 2024

RecognaSumm: A Novel Brazilian Summarization Dataset.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

Impact of Quantization on Large Language Models for Portuguese Classification Tasks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

Hate Speech Detection in Portuguese Using BERTimbau.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2022
Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022


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