@inproceedings{mayer-etal-2024-opensource,
    title = "Can {O}pen{S}ource beat {C}hat{GPT}? - A Comparative Study of Large Language Models for Text-to-Code Generation",
    author = "Mayer, Luis  and
      Heumann, Christian  and
      A{\ss}enmacher, Matthias",
    editor = "Corsin, Capol  and
      Mark, Cieliebak  and
      Albert, Weichselbraun  and
      Claudiu, Musat  and
      Elisabeth, Maier  and
      Lucas, Zimmermann",
    booktitle = "Proceedings of the 9th edition of the Swiss Text Analytics Conference",
    month = jun,
    year = "2024",
    address = "Chur, Switzerland",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.swisstext-1.1/",
    pages = "1--20"
}