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.
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications [link]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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