| 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 |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 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 |
5 |
| Date of Issue |
2024-07-25 (CNR) |