@inproceedings{fedorova-etal-2025-explaining,
    title = "Explaining novel senses using definition generation with open language models",
    author = "Fedorova, Mariia  and
      Kutuzov, Andrey  and
      Periti, Francesco  and
      Scherrer, Yves",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.findings-emnlp.1214/",
    doi = "10.18653/v1/2025.findings-emnlp.1214",
    pages = "22294--22302",
    ISBN = "979-8-89176-335-7",
    abstract = "We apply definition generators based on open-weights large language models to the task of creating explanations of novel senses, taking target word usages as an input. To this end, we employ the datasets from the AXOLOTL{'}24 shared task on explainable semantic change modeling, which features Finnish, Russian and German languages. We fine-tune and provide publicly the open-source models performing higher than the best submissions of the aforementioned shared task, which employed closed proprietary LLMs. In addition, we find that encoder-decoder definition generators perform on par with their decoder-only counterparts."
}