@inproceedings{pattnaik-etal-2025-scalable,
    title = "Scalable and Cost Effective High-Cardinality Classification with {LLM}s via Multi-View Label Representations and Retrieval Augmentation",
    author = "Pattnaik, Anup  and
      Vutla, Sasanka  and
      Dev, Hamvir  and
      Nandan, Jeevesh  and
      George, Cijo",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.137/",
    pages = "1955--1969",
    ISBN = "979-8-89176-333-3"
}