Computer Science researchBelo Horizonte, Brasil · Since 2017

Neural Representations

Text embeddings for predictive analysis

Investigation of neural text representations and their use in prediction problems.

Back to research

What we investigate

Analysis of how text granularity, learning paradigms and architectures affect embeddings and prediction tasks. An earlier edition of the project ran in 2022–2023.

Collaborative research

To learn about the researchers involved, the latest results and ways to participate in this project, contact the coordination team.

Contact IRIS

Reading on this topic

Work related to this topic.

2026

Conference paper · Natural language

CAGE: An Evaluation Framework for Cache-Augmented Generation Models

Lucas Mariano do Carmo, Wladmir Cardoso Brandão, Henrique Cota de Freitas

25º Workshop em Desempenho de Sistemas Computacionais e de Comunicação · 2026

Read paper
2026

Accepted for publication · People Analytics

Evaluating LLM-Based Resume Information Extraction

Arthur Rodrigues Soares de Quadros, Wesley Nogueira Galvão, Victória Emanuela Alves Oliveira, Alessandro Garcia Vieira, Wladmir Cardoso Brandão

SN Computer Science · 2026

Awaiting publication
2025

Conference paper · People Analytics

Evaluating LLM-Based Resume Information Extraction: A Comparative Study of Zero-Shot and One-Shot Learning Approaches in Portuguese-Specific and Multi-Language LLMs

Arthur Rodrigues Soares de Quadros, Wesley Nogueira Galvão, Victória Emanuela Alves Oliveira, Alessandro Garcia Vieira, Wladmir Cardoso Brandão

21st International Conference on Web Information Systems and Technologies · 2025

Read paper