@inproceedings{santillan-cooper-etal-2025-synthetic,
    title = "Synthetic Data for Evaluation: Supporting {LLM}-as-a-Judge Workflows with {E}val{A}ssist",
    author = "Santill{\'a}n Cooper, Mart{\'i}n  and
      Ashktorab, Zahra  and
      Do, Hyo Jin  and
      Miehling, Erik  and
      Geyer, Werner  and
      Gajcin, Jasmina  and
      Daly, Elizabeth M.  and
      Pan, Qian  and
      Desmond, Michael",
    editor = {Habernal, Ivan  and
      Schulam, Peter  and
      Tiedemann, J{\"o}rg},
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-demos.1/",
    pages = "1--11",
    ISBN = "979-8-89176-334-0"
}