@inproceedings{semnani-etal-2025-churro,
    title = "{CHURRO}: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition",
    author = "Semnani, Sina  and
      Zhang, Han  and
      He, Xinyan  and
      Tekgurler, Merve  and
      Lam, Monica",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1763/",
    pages = "34765--34812",
    ISBN = "979-8-89176-332-6"
}