@inproceedings{venkatesh-etal-2024-bits,
    title = "{BITS} Pilani at {S}em{E}val-2024 Task 10: Fine-tuning {BERT} and Llama 2 for Emotion Recognition in Conversation",
    author = "Venkatesh, Dilip  and
      Prasanjith, Pasunti  and
      Sharma, Yashvardhan",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Tayyar Madabushi, Harish  and
      Da San Martino, Giovanni  and
      Rosenthal, Sara  and
      Ros{\'a}, Aiala},
    booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.semeval-1.115/",
    doi = "10.18653/v1/2024.semeval-1.115",
    pages = "811--815",
    abstract = "Emotion Recognition in Conversation (ERC)aims to assign an emotion to a dialogue in aconversation between people. The first subtaskof EDiReF shared task aims to assign an emo-tions to a Hindi-English code mixed conversa-tion. For this, our team proposes a system toidentify the emotion based on fine-tuning largelanguage models on the MaSaC dataset. Forour study we have fine tuned 2 LLMs BERTand Llama 2 to perform sequence classificationto identify the emotion of the text."
}