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Japanese SimCSE Technical Report (2310.19349v1)

Published 30 Oct 2023 in cs.CL

Abstract: We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE. Since there is a lack of sentence embedding models for Japanese that can be used as a baseline in sentence embedding research, we conducted extensive experiments on Japanese sentence embeddings involving 24 pre-trained Japanese or multilingual LLMs, five supervised datasets, and four unsupervised datasets. In this report, we provide the detailed training setup for Japanese SimCSE and their evaluation results.

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Authors (3)
  1. Hayato Tsukagoshi (8 papers)
  2. Ryohei Sasano (24 papers)
  3. Koichi Takeda (21 papers)