@inproceedings{pezo-etal-2025-ipezotu,
    title = "ipezo{TU} at {S}em{E}val-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking",
    author = "Pezo, Iva  and
      Hanbury, Allan  and
      Staudinger, Moritz",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.153/",
    pages = "1159--1167",
    ISBN = "979-8-89176-273-2",
    abstract = "Fact-check retrieval plays a crucial role in combating misinformation by ensuring that claims are accurately matched with relevant fact-checks. In this work, we present a hybrid retrieval pipeline that integrates lexical and semantic retrieval models, leveraging their complementary strengths. We evaluate different retrieval and reranking strategies, demonstrating that hybrid ensembling consistently outperforms individual models, while reranking provides only marginal improvements."
}