Abstract: With the increasing demand for summarizing Japanese judgment documents, the automatic generation of high-quality summaries by large language models (LLMs) is expected. We propose a method to select exemplars using the nearest neighbor search for the one-shot learning method. The experiments showed our method outperforms baseline methods.
External IDs:doi:10.3233/faia230984
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