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Paper Abstract and Keywords
Presentation 2024-09-03 10:20
JaFIn: Japanese Financial Instruction Dataset
Kota Tanabe (Hokkaido Univ.), Masahiro Suzuki (Tokyo Univ.), Hiroki Sakaji, Itsuki Noda (Hokkaido Univ.) NLC2024-16
Abstract (in Japanese) (See Japanese page) 
(in English) 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, which provide extensive financial knowledge.
We then utilize JaFIn to apply instruction tuning for several LLMs, demonstrating that our models specialized in finance have better domain adaptability than the original models.
The financial-specialized LLMs created were evaluated using a quantitative Japanese financial benchmark and qualitative response comparisons, showing improved performance over the originals.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Model / Financial Dataset / Instruction Tuning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 173, NLC2024-16, pp. 87-92, Sept. 2024.
Paper # NLC2024-16 
Date of Issue 2024-08-26 (NLC) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLC2024-16

Conference Information
Committee NLC  
Conference Date 2024-09-02 - 2024-09-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University. The Clark Memorial Student Center. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 21st Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2024-09-NLC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) JaFIn: Japanese Financial Instruction Dataset 
Sub Title (in English)  
Keyword(1) Large Language Model  
Keyword(2) Financial Dataset  
Keyword(3) Instruction Tuning  
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1st Author's Name Kota Tanabe  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Masahiro Suzuki  
2nd Author's Affiliation The University of Tokyo (Tokyo Univ.)
3rd Author's Name Hiroki Sakaji  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Itsuki Noda  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-3 
Date Time 2024-09-03 10:20:00 
Presentation Time 20 minutes 
Registration for NLC 
Paper # NLC2024-16 
Volume (vol) vol.124 
Number (no) no.173 
Page pp.87-92 
#Pages 6 
Date of Issue 2024-08-26 (NLC) 

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