@inproceedings{ullrich-drchal-2025-aic,
    title = "{AIC} {CTU}@{FEVER} 8: On-premise fact checking through long context {RAG}",
    author = "Ullrich, Herbert  and
      Drchal, Jan",
    editor = "Akhtar, Mubashara  and
      Aly, Rami  and
      Christodoulopoulos, Christos  and
      Cocarascu, Oana  and
      Guo, Zhijiang  and
      Mittal, Arpit  and
      Schlichtkrull, Michael  and
      Thorne, James  and
      Vlachos, Andreas",
    booktitle = "Proceedings of the Eighth Fact Extraction and VERification Workshop (FEVER)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.fever-1.22/",
    doi = "10.18653/v1/2025.fever-1.22",
    pages = "274--280",
    ISBN = "978-1-959429-53-1",
    abstract = "In this paper, we present our fact-checking pipeline which has scored first in FEVER 8 shared task. Our fact-checking system is a simple two-step RAG pipeline based on our last year{'}s submission. We show how the pipeline can be redeployed on-premise, achieving state-of-the-art fact-checking performance (in sense of Ev2R test-score), even under the constraint of a single Nvidia A10 GPU, 23GB of graphical memory and 60s running time per claim."
}