Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. Faysse, M., Viaud, G., Hudelot, C., & Colombo, P. In Bouamor, H., Pino, J., & Bali, K., editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, pages 9033–9048, 2023. Association for Computational Linguistics.
Paper doi bibtex @inproceedings{DBLP:conf/emnlp/FaysseVHC23,
author = {Manuel Faysse and
Gautier Viaud and
C{\'{e}}line Hudelot and
Pierre Colombo},
editor = {Houda Bouamor and
Juan Pino and
Kalika Bali},
title = {Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial
Applications},
booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural
Language Processing, {EMNLP} 2023, Singapore, December 6-10, 2023},
pages = {9033--9048},
publisher = {Association for Computational Linguistics},
year = {2023},
url = {https://doi.org/10.18653/v1/2023.emnlp-main.559},
doi = {10.18653/V1/2023.EMNLP-MAIN.559},
timestamp = {Sun, 06 Oct 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/emnlp/FaysseVHC23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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