@inproceedings{00ca9b9a340949f7b4255da6d71c0279,
title = "When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?",
author = "Yanjun Gao and Skatje Myers and Shan Chen and Dmitriy Dligach and Miller, \{Timothy A.\} and Danielle Bitterman and Matthew Churpek and Majid Afshar",
note = "Publisher Copyright: {\textcopyright} 2024 Association for Computational Linguistics.; 2024 Findings of the Association for Computational Linguistics, EMNLP 2024 ; Conference date: 12-11-2024 Through 16-11-2024",
year = "2024",
doi = "10.18653/v1/2024.findings-emnlp.311",
language = "English",
series = "EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024",
publisher = "Association for Computational Linguistics (ACL)",
pages = "5414--5428",
editor = "Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen",
booktitle = "EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024",
}