Leveraging the capabilities of Large Language Models in Questionnaire Generation for Human Resource Management

My thesis explores the Survey Questionnaire Generation task in the Human Resource Management field. Although poorly explored and characterized by the lack of dedicated materials, this study overcame such limitations by proposing a comprehensive methodology. Therefore, we proposed a dataset collecting survey questionnaires for HRM, which was used to leverage the capabilities of LLMs, namely GPT-3.5-Turbo and GPT-4-Turbo, in such a task.

Jun 21, 2024 11:30 AM