Evaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations

Vinzent Penzkofer, Timo Baumann


Anthology ID:
2024.konvens-main.6
Volume:
Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
Month:
September
Year:
2024
Address:
Vienna, Austria
Editors:
Pedro Henrique Luz de Araujo, Andreas Baumann, Dagmar Gromann, Brigitte Krenn, Benjamin Roth, Michael Wiegand
Venue:
KONVENS
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Publisher:
Association for Computational Linguistics
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Pages:
57–64
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URL:
https://aclanthology.org/2024.konvens-main.6
DOI:
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Cite (ACL):
Vinzent Penzkofer and Timo Baumann. 2024. Evaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations. In Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024), pages 57–64, Vienna, Austria. Association for Computational Linguistics.
Cite (Informal):
Evaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations (Penzkofer & Baumann, KONVENS 2024)
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https://aclanthology.org/2024.konvens-main.6.pdf