1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification
Claudio M. V. de Andrade, Washington Cunha, Davi Reis +3
Transformer models have achieved state-of-the-art results, with Large Language Models (LLMs), an evolution of first-generation transformers (1stTR), being considered the cutting ed…
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks
Fabiano Belém, Washington Cunha, Celso França +3
This is the first work to investigate the effectiveness of BERT-based contextual embeddings in active learning (AL) tasks on cold-start scenarios, where traditional fine-tuning is…
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method
Washington Cunha, Celso França, Leonardo Rocha +1
There is a niche of companies responsible for intermediating the purchase of large batches of varied products for other companies, for which the main challenge is to perform produc…