2 papers
cs.CL2024
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…
cs.LG2024
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…