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Paper Abstract and Keywords
Presentation 2023-09-22 10:30
Probing the ability to accurately understand and utilize the ordinal numbers by visual language models
Ryuto Masuda, Hisashi Miyamori (Kyoto Sangyo Univ.) DE2023-20
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we investigate the extent to which visual language models have the ability to accurately grasp and utilize the concept of ordinal numbers. Although the Transformer-based large-scale pre-training models show high correct response rates for tasks such as simple arithmetic operations, it is still unclear how these models capture and utilize the concept of numbers.In this study, we focus on ordinal numbers as one of the concepts of numbers and investigate to what extent Transformer-based visual language models have the ability to grasp and utilize the concept of ordinal numbers.Specifically, we construct a new dataset for referring expression comprehension focusing on counting via ordinal numbers. CG images are generated with multiple objects placed in the image, and the objects are annotated with referring expressions which require understanding inter-object relations and counting them up.In the experiments, we evaluate the performance of referring expression comprehension tasks by typical visual language models using the constructed dataset and analyze the ability to accurately grasp and utilize the ordinal numbers.
Keyword (in Japanese) (See Japanese page) 
(in English) ordinal numbers / concept understanding / visual language model / counting operation / reasoning / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 192, DE2023-20, pp. 54-59, Sept. 2023.
Paper # DE2023-20 
Date of Issue 2023-09-14 (DE) 
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 DE2023-20

Conference Information
Committee DE IPSJ-DBS IPSJ-IFAT  
Conference Date 2023-09-21 - 2023-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kitakyushu International Conference Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Bigdata management, information retrieval, knowledge discovery, etc. 
Paper Information
Registration To DE 
Conference Code 2023-09-DE-DBS-IFAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Probing the ability to accurately understand and utilize the ordinal numbers by visual language models 
Sub Title (in English)  
Keyword(1) ordinal numbers  
Keyword(2) concept understanding  
Keyword(3) visual language model  
Keyword(4) counting operation  
Keyword(5) reasoning  
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1st Author's Name Ryuto Masuda  
1st Author's Affiliation Kyoto Sangyo University (Kyoto Sangyo Univ.)
2nd Author's Name Hisashi Miyamori  
2nd Author's Affiliation Kyoto Sangyo University (Kyoto Sangyo Univ.)
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Speaker Author-1 
Date Time 2023-09-22 10:30:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2023-20 
Volume (vol) vol.123 
Number (no) no.192 
Page pp.54-59 
#Pages 6 
Date of Issue 2023-09-14 (DE) 

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