Performance analysis of large language models in the domain of legal argument mining
Abdullah Al Zubaer,
Michael Granitzer,
Jelena Mitrović
Abstract:Generative pre-trained transformers (GPT) have recently demonstrated excellent performance in various natural language tasks. The development of ChatGPT and the recently released GPT-4 model has shown competence in solving complex and higher-order reasoning tasks without further training or fine-tuning. However, the applicability and strength of these models in classifying legal texts in the context of argument mining are yet to be realized and have not been tested thoroughly. In this study, we investigate the… Show more
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