@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://aclanthology.org/2024.swisstext-1.1/",
pages = "1--20"
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%0 Conference Proceedings
%T Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation
%A Mayer, Luis
%A Heumann, Christian
%A Aßenmacher, Matthias
%Y Corsin, Capol
%Y Mark, Cieliebak
%Y Albert, Weichselbraun
%Y Claudiu, Musat
%Y Elisabeth, Maier
%Y Lucas, Zimmermann
%S Proceedings of the 9th edition of the Swiss Text Analytics Conference
%D 2024
%8 June
%I Association for Computational Linguistics
%C Chur, Switzerland
%F mayer-etal-2024-opensource
%U https://aclanthology.org/2024.swisstext-1.1/
%P 1-20
Markdown (Informal)
[Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation](https://aclanthology.org/2024.swisstext-1.1/) (Mayer et al., SwissText 2024)
ACL