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JaFIn: Japanese Financial Instruction Dataset
April 16, 2024, 4:51 a.m. | Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji, Itsuki Noda
cs.CL updates on arXiv.org arxiv.org
Abstract: We construct an instruction dataset for the large language model (LLM) in the Japanese finance domain. Domain adaptation of language models, including LLMs, is receiving more attention as language models become more popular. This study demonstrates the effectiveness of domain adaptation through instruction tuning. To achieve this, we propose an instruction tuning data in Japanese called JaFIn, the Japanese Financial Instruction Dataset. JaFIn is manually constructed based on multiple data sources, including Japanese government websites, …
abstract arxiv attention become construct cs.ce cs.cl dataset domain domain adaptation finance financial japanese language language model language models large language large language model llm llms popular study through type
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