Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-03-01 12:10
Explainable Classification of AI-Human Mixed Texts Using Feature Extraction
Rio Ishibashi, Tomoaki Ohtsuki, Mondher Bouazizi (Keio Univ.) SeMI2025-68
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an explainable, multi-class classification method for distinguishing six types of AI-human mixed texts. Language models fine-tuned on this task have high performance, yet lack explainability. Our method addresses this by utilizing fully explainable features. We extract four families of features: per-class perplexity, LLM-as-a-judge, linguistic and stylistic features, and rewriting-based features. To evaluate robustness, we use datasets that have varying topics, authors, and mixtures of LLMs. Our results demonstrate that this method achieves performance comparable to existing approaches. Furthermore, we can isolate the most important features per-class, with no prior knowledge of the generating LLM needed.
Keyword (in Japanese) (See Japanese page) 
(in English) Generative AI Text Detection / Explainable AI / Multi-Class Authorship Classification / Perplexity Features / Domain-shift Robustness / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 367, SeMI2025-68, pp. 11-16, March 2026.
Paper # SeMI2025-68 
Date of Issue 2026-02-22 (SeMI) 
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 SeMI2025-68

Conference Information
Committee SeMI IPSJ-MBL IPSJ-UBI  
Conference Date 2026-03-01 - 2026-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2026-03-SeMI-MBL-UBI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Explainable Classification of AI-Human Mixed Texts Using Feature Extraction 
Sub Title (in English)  
Keyword(1) Generative AI Text Detection  
Keyword(2) Explainable AI  
Keyword(3) Multi-Class Authorship Classification  
Keyword(4) Perplexity Features  
Keyword(5) Domain-shift Robustness  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Rio Ishibashi  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Mondher Bouazizi  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-03-01 12:10:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2025-68 
Volume (vol) vol.125 
Number (no) no.367 
Page pp.11-16 
#Pages 6 
Date of Issue 2026-02-22 (SeMI) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan