@inproceedings{rizwan-2024-sarcemp,
    title = "{S}arc{E}mp - Fine-tuning {D}ialo{GPT} for Sarcasm and Empathy",
    author = "Rizwan, Mohammed",
    editor = "Graham, Yvette  and
      Liu, Qun  and
      Lampouras, Gerasimos  and
      Iacobacci, Ignacio  and
      Madden, Sinead  and
      Khalid, Haider  and
      Qureshi, Rameez",
    booktitle = "Proceedings of the 1st Workshop on Simulating Conversational Intelligence in Chat (SCI-CHAT 2024)",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.scichat-1.6/",
    pages = "66--69",
    abstract = "Conversational models often face challenges such as a lack of emotional temperament and a limited sense of humor when interacting with users. To address these issues, we have selected relevant data and fine-tuned the model to (i) humanize the chatbot based on the user`s emotional response and the context of the conversation using a dataset based on empathy and (ii) enhanced conversations while incorporating humor/sarcasm for better user engagement. We aspire to achieve more personalized and enhanced user-computer interactions with the help of varied datasets involving sarcasm together with empathy on top of already available state-of-the-art conversational systems."
}