@inproceedings{li-etal-2024-retrieval,
    title = "Retrieval Augmented Generation or Long-Context {LLM}s? A Comprehensive Study and Hybrid Approach",
    author = "Li, Zhuowan  and
      Li, Cheng  and
      Zhang, Mingyang  and
      Mei, Qiaozhu  and
      Bendersky, Michael",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.emnlp-industry.66/",
    doi = "10.18653/v1/2024.emnlp-industry.66",
    pages = "881--893"
}