Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification
Guilherme Fonseca, Washington Cunha, Gabriel Prenassi, Marcos André Gonçalves, Leonardo Chaves Dutra Da Rocha. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.
Authors
- Washington Cunha (ORCID: https://orcid.org/0000-0002-1988-8412)
- Marcos André Gonçalves (ORCID: https://orcid.org/0000-0002-2075-3363)
- Guilherme Fonseca (ORCID: https://orcid.org/0009-0000-7862-8701)
- Leonardo Rocha (ORCID: https://orcid.org/0000-0002-4913-4902)
- Gabriel Prenassi
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-long.458
- Citations
- 2
- Primary Topic
- Text and Document Classification Technologies
- Type
- article
- Field-Weighted Citation Impact
- 4.96
Funders
- Nvidia
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais