@inproceedings{aman-parveen-2025-uimp,
    title = "{UIMP}-Aaman at {S}em{E}val-2025 Task11: Detecting Intensity and Emotion in Social Media and News",
    author = "Aman - Parveen, Aisha",
    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/more-markup/2025.semeval-1.47/",
    pages = "331--335",
    ISBN = "979-8-89176-273-2",
    abstract = "This paper presents our participation in SemEval task 11, which consists of emotion recognition in sentences written in multiple languages. We use in-context learning and fine-tuning methods to teach LLMs how to predict labels for Track A, Track B and Track C. The best results depends on track and language predicted."
}