@inproceedings{yang-etal-2026-opendc,
    title = "{O}pen{DC}-Infer-{LC}: Benchmarking Production-Valid Long-Context and {RAG} {LLM} Serving",
    author = "Yang, Yue  and
      Twelftree, Maxwell  and
      Collette, Jared  and
      He, An-Chi  and
      Borgnolo, Luke  and
      Lemphers, David",
    editor = "Atanasova, Pepa  and
      Haffari, Gholamreza  and
      Wang, Minghan",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-industry.64/",
    pages = "1070--1090",
    ISBN = "979-8-89176-460-6"
}