Large Language Models for Detecting Bias in Job Descriptions
This study explores the application of large language (LLM) models for detecting implicit bias in job descriptions, an important concern in human resources that shapes applicant pools and influences employer perception. We compare different LLM architectures—encoder, encoder-decoder, and decoder mod...
Enregistré dans:
| Dans: | URI:https://journals.openedition.org/ijcol, |
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| Auteurs principaux: | , , , |
| Format: | Article ou chapitre numérique |
| Langue: | Anglais |
| Publié: |
IJCoL
2025
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| Accès en ligne: | Accès Université d'Orléans et IFPM |