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Paper Abstract and Keywords
Presentation 2026-03-20 16:15
An LLM-based Intent Transformation Method with a Requirement Definition Layer for Natural Language Requests in Network Operations
Minato Sakuraba, Takemasa Imada, Keigo Akahoshi, Takuya Miyasaka (KDDI Research) ICM2025-51
Abstract (in Japanese) (See Japanese page) 
(in English) The diversification of network requirements has significantly increased the complexity of network design, construc
tion, and operation. Autonomous network, which enables network control based on user intent, is therefore attracting growing
attention. In particular, allowing users to express intent in natural language facilitates requirement specification without special
ized technical knowledge. However, there is a leap between the natural language requests and network intent due to the difference
of their abstraction and purpose, making direct implementation challenging. To address these issues, we propose a novel method
that introduces a requirement definition layer prior to intent translation using large language models (LLMs). This layer interacts
as intermediate information between the users requests and network intent, thus improving translation accuracy. Experimental
results demonstrate that our method improves intent translation accuracy by 13.50% to 22.33% in the mobile scenario.
Keyword (in Japanese) (See Japanese page) 
(in English) LLM / Intent / Intent Translation / Natural Language / Requirement Definition / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 422, ICM2025-51, pp. 92-97, March 2026.
Paper # ICM2025-51 
Date of Issue 2026-03-12 (ICM) 
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 ICM2025-51

Conference Information
Committee ICM  
Conference Date 2026-03-19 - 2026-03-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hirarakou-Terminal Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2026-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An LLM-based Intent Transformation Method with a Requirement Definition Layer for Natural Language Requests in Network Operations 
Sub Title (in English)  
Keyword(1) LLM  
Keyword(2) Intent  
Keyword(3) Intent Translation  
Keyword(4) Natural Language  
Keyword(5) Requirement Definition  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Minato Sakuraba  
1st Author's Affiliation KDDI Research, Inc. (KDDI Research)
2nd Author's Name Takemasa Imada  
2nd Author's Affiliation KDDI Research, Inc. (KDDI Research)
3rd Author's Name Keigo Akahoshi  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research)
4th Author's Name Takuya Miyasaka  
4th Author's Affiliation KDDI Research, Inc. (KDDI Research)
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Speaker Author-1 
Date Time 2026-03-20 16:15:00 
Presentation Time 25 minutes 
Registration for ICM 
Paper # ICM2025-51 
Volume (vol) vol.125 
Number (no) no.422 
Page pp.92-97 
#Pages 6 
Date of Issue 2026-03-12 (ICM) 

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