@inproceedings{sorensen-etal-2023-juage,
    title = "{JUAGE} at {S}em{E}val-2023 Task 10: Parameter Efficient Classification",
    author = "Sorensen, Jeffrey  and
      Korre, Katerina  and
      Pavlopoulos, John  and
      Tomanek, Katrin  and
      Thain, Nithum  and
      Dixon, Lucas  and
      Laugier, L{\'e}o",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.166",
    doi = "10.18653/v1/2023.semeval-1.166",
    pages = "1195--1203",
    abstract = "Using pre-trained language models to implement classifiers from small to modest amounts of training data is an area of active research. The ability of large language models to generalize from few-shot examples and to produce strong classifiers is extended using the engineering approach of parameter-efficient tuning. Using the Explainable Detection of Online Sexism (EDOS) training data and a small number of trainable weights to create a tuned prompt vector, a competitive model for this task was built, which was top-ranked in Subtask B.",
}

Using pre-trained language models to implement classifiers from small to modest amounts of training data is an area of active research. The ability of large language models to generalize from few-shot examples and to produce strong classifiers is extended using the engineering approach of parameter-efficient tuning. Using the Explainable Detection of Online Sexism (EDOS) training data and a small number of trainable weights to create a tuned prompt vector, a competitive model for this task was built, which was top-ranked in Subtask B.
Sorensen, Jeffrey Korre, Katerina Pavlopoulos, John Tomanek, Katrin Thain, Nithum Dixon, Lucas Laugier, L{\'e}o
JUAGE at SemEval-2023 Task 10: Parameter Efficient Classification