Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification

The application of Machine Learning (ML) for predicting graduate student employability is a growing area of research, driven by the need to align educational outcomes with job market requirements. In this context, this paper investigates the application of Large Language Models (LLMs) for tabular da...

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Bibliografiske detaljer

Principais autores:	Radiah Haque, Hui-Ngo Goh, Choo-Yee Ting, Albert Quek, M.D. Rakibul Hasan
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2025-06-01
Serier:	Computers and Education: Artificial Intelligence
Fag:	Machine learning Student employability prediction Feature selection Large language models BERT Tabular data
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2666920X24001590
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