- Anthology ID:
- 2024.swisstext-1.1
- Volume:
- Proceedings of the 9th edition of the Swiss Text Analytics Conference
- Month:
- June
- Year:
- 2024
- Address:
- Chur, Switzerland
- Editors:
- Corsin Capol, Mark Cieliebak, Albert Weichselbraun, Claudiu Musat, Elisabeth Maier, Lucas Zimmermann
- Venue:
- SwissText
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–20
- Language:
- URL:
- https://preview.aclanthology.org/more-markup/2024.swisstext-1.1/
- DOI:
- Cite (ACL):
- Luis Mayer, Christian Heumann, and Matthias Aßenmacher. 2024. Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 1–20, Chur, Switzerland. Association for Computational Linguistics.
- Cite (Informal):
- Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation (Mayer et al., SwissText 2024)
- PDF:
- https://preview.aclanthology.org/more-markup/2024.swisstext-1.1.pdf