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Paper Abstract and Keywords
Presentation 2024-08-01 16:55
LLM multilingual comparison in intent understanding tasks
Taiga Sumi, Ayu Iida, Reo Nagahara, Yasuhito Hosaka, Lavelle Isabelle, Masako Kohama, Sonoko Moriyama, Masahiko Osawa (NU) CNR2024-7
Abstract (in Japanese) (See Japanese page) 
(in English) The authors aim to develop a large language model capable of reading intentions by integrating large language models with cognitive architectures. Their evaluation experiment demonstrates that large language models, when integrated with cognitive architectures, can read intentions. However, the fact that the prompts were written in Japanese may have significantly influenced the results. It has been reported that there are differences in the degree to which communication cultures in various countries consider the context shared within the community. Therefore, in large language models, the language used to create prompts may affect intention understanding. In this study, the authors conducted experiments using large language models to perform tasks requiring intention reading in multiple languages to compare the degree of intention understanding based on the language used in the prompts. The results showed that, within the scope of this experiment, there were differences in the degree of intention understanding between languages, particularly in situations unique to Japanese.
Keyword (in Japanese) (See Japanese page) 
(in English) Large Language Model(LLM) / Cognitive Architecture / Mental Model of Others(MMO) / Intent Estimation / Implicature / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 143, CNR2024-7, pp. 34-38, Aug. 2024.
Paper # CNR2024-7 
Date of Issue 2024-07-25 (CNR) 
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 CNR2024-7

Conference Information
Committee CNR  
Conference Date 2024-08-01 - 2024-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University Conference Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CNR 
Conference Code 2024-08-CNR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) LLM multilingual comparison in intent understanding tasks 
Sub Title (in English)  
Keyword(1) Large Language Model(LLM)  
Keyword(2) Cognitive Architecture  
Keyword(3) Mental Model of Others(MMO)  
Keyword(4) Intent Estimation  
Keyword(5) Implicature  
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Keyword(7)  
Keyword(8)  
1st Author's Name Taiga Sumi  
1st Author's Affiliation Nihon University (NU)
2nd Author's Name Ayu Iida  
2nd Author's Affiliation Nihon University (NU)
3rd Author's Name Reo Nagahara  
3rd Author's Affiliation Nihon University (NU)
4th Author's Name Yasuhito Hosaka  
4th Author's Affiliation Nihon University (NU)
5th Author's Name Lavelle Isabelle  
5th Author's Affiliation Nihon University (NU)
6th Author's Name Masako Kohama  
6th Author's Affiliation Nihon University (NU)
7th Author's Name Sonoko Moriyama  
7th Author's Affiliation Nihon University (NU)
8th Author's Name Masahiko Osawa  
8th Author's Affiliation Nihon University (NU)
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Speaker Author-1 
Date Time 2024-08-01 16:55:00 
Presentation Time 30 minutes 
Registration for CNR 
Paper # CNR2024-7 
Volume (vol) vol.124 
Number (no) no.143 
Page pp.34-38 
#Pages
Date of Issue 2024-07-25 (CNR) 


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