Nearest Neighbor Search for Summarization of Japanese Judgment Documents

Akito Shimbo, Yuta Sugawara, Hiroaki Yamada, Takenobu Tokunaga

Published: 20 Dec 2023, Last Modified: 25 Nov 2025Legal Knowledge and Information Systems, Frontiers in Artificial Intelligence and Applications SeriesEveryoneRevisionsBibTeXCC BY-SA 4.0
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.
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