@inproceedings{domingo-etal-2025-mention,
    title = "Mention detection with {LLM}s in pair-programming dialogue",
    author = "Domingo, Cecilia  and
      Piwek, Paul  and
      Stoyanchev, Svetlana  and
      Wermelinger, Michel",
    editor = "Ogrodniczuk, Maciej  and
      Novak, Michal  and
      Poesio, Massimo  and
      Pradhan, Sameer  and
      Ng, Vincent",
    booktitle = "Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.crac-1.4/",
    doi = "10.18653/v1/2025.crac-1.4",
    pages = "42--54",
    abstract = "We tackle the task of mention detection for pair-programming dialogue, a setting which adds several challenges to the task due to the characteristics of natural dialogue, the dynamic environment of the dialogue task, and the domain-specific vocabulary and structures. We compare recent variants of the Llama and GPT families and explore different prompt and context engineering approaches. While aspects like hesitations and references to read-out code and variable names made the task challenging, GPT 4.1 approximated human performance when we provided few-shot examples similar to the inference text and corrected formatting errors."
}