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Paper Abstract and Keywords
Presentation 2024-03-12 10:25
Devising Information Extraction Prompts from Dysfunctional Animal Experimental Papers Using Large Language Models
Iriya Horiguchi (U-Tokyo), Yuta Ashihara (Nichidai), Hiroshi Yamakawa (U-Tokyo) NC2023-51
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we investigated a method for extracting anatomical and physiological information about healthy and dysfunctional animals from the neuroscience literature using a large language model (LLM). This approach aims to contribute to the exhaustive accumulation of brain information flow (BIF), which is the basis for Brain Reference Architecture (BRA)-driven development. In particular, we focus on the design of effective prompts and report on the extension of prompt content to allow the extraction of physiological experimental results in addition to anatomical descriptions. Experiments confirm that prompt design incorporating Few-shot Learning achieved high descriptive excerpt consistency and descriptive accuracy in extracting information from the neuroscience literature. This suggests new possibilities for the exhaustive accumulation of anatomical and physiological information needed for BRA-driven development. This study demonstrates the effectiveness of utilizing LLMs and emphasizes the importance of prompt design. This is expected to lead to more sophisticated information extraction in the study of brain-based software design.
Keyword (in Japanese) (See Japanese page) 
(in English) Brain Reference Architecture driven development / LLM / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 418, NC2023-51, pp. 49-52, March 2024.
Paper # NC2023-51 
Date of Issue 2024-03-04 (NC) 
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 NC2023-51

Conference Information
Committee NC MBE  
Conference Date 2024-03-11 - 2024-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) The Univ. of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Brain architecture, General 
Paper Information
Registration To NC 
Conference Code 2024-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Devising Information Extraction Prompts from Dysfunctional Animal Experimental Papers Using Large Language Models 
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Keyword(1) Brain Reference Architecture driven development  
Keyword(2) LLM  
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1st Author's Name Iriya Horiguchi  
1st Author's Affiliation The University of Tokyo (U-Tokyo)
2nd Author's Name Yuta Ashihara  
2nd Author's Affiliation Nihon University (Nichidai)
3rd Author's Name Hiroshi Yamakawa  
3rd Author's Affiliation The University of Tokyo (U-Tokyo)
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Speaker Author-1 
Date Time 2024-03-12 10:25:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2023-51 
Volume (vol) vol.123 
Number (no) no.418 
Page pp.49-52 
#Pages 4 
Date of Issue 2024-03-04 (NC) 

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