@inproceedings{zhao-etal-2024-optimizing,
    title = "Optimizing {LLM} Based Retrieval Augmented Generation Pipelines in the Financial Domain",
    author = "Zhao, Yiyun  and
      Singh, Prateek  and
      Bhathena, Hanoz  and
      Ramos, Bernardo  and
      Joshi, Aviral  and
      Gadiyaram, Swaroop  and
      Sharma, Saket",
    editor = "Yang, Yi  and
      Davani, Aida  and
      Sil, Avi  and
      Kumar, Anoop",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.naacl-industry.23/",
    doi = "10.18653/v1/2024.naacl-industry.23",
    pages = "279--294"
}