Official Website for REML-related contents, including tutorial pages.
@misc{kim2024retrievalenhancedmachinelearning,
title={Retrieval-Enhanced Machine Learning: Synthesis and Opportunities},
author={To Eun Kim and Alireza Salemi and Andrew Drozdov and Fernando Diaz and Hamed Zamani},
year={2024},
eprint={2407.12982},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2407.12982},
}