@inproceedings{rasouli-etal-2025-aima,
    title = "{AIMA} at {S}em{E}val-2025 Task 1: Bridging Text and Image for Idiomatic Knowledge Extraction via Mixture of Experts",
    author = "Rasouli, Arash  and
      Sadraiye, Erfan  and
      Ghahroodi, Omid  and
      Rabiee, Hamid  and
      Asgari, Ehsaneddin",
    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-1.296/",
    pages = "2270--2275",
    ISBN = "979-8-89176-273-2",
    abstract = "Idioms are integral components of language, playing a crucial role in understanding and processing linguistic expressions. Although extensive research has been conducted on the comprehension of idioms in the text domain, their interpretation in multi-modal spaces remains largely unexplored. In this work, we propose a multi-expert framework to investigate the transfer of idiomatic knowledge from the language to the vision modality. Through a series of experiments, we demonstrate that leveraging text-based representations of idioms can significantly enhance understanding of the visual space, bridging the gap between linguistic and visual semantics."
}