Journal article 185 views 398 downloads
Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models
Muhammad Sohail 
,
Zan Hongying,
Muhammad Abdullah ,
Fabio Caraffini ,
Arifa Javed ,
Hassan Eshkiki
,
Zan Hongying,
Muhammad Abdullah ,
Fabio Caraffini ,
Arifa Javed ,
Hassan Eshkiki
Knowledge-Based Systems, Volume: 335, Start page: 115206
Swansea University Authors:
Fabio Caraffini , Hassan Eshkiki
-
PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
Download (7.88MB)
DOI (Published version): 10.1016/j.knosys.2025.115206
Abstract
Multi-scale feature fusion-based dynamic framework using continual learning to identify text generated by multiple large language models
| Published in: | Knowledge-Based Systems |
|---|---|
| ISSN: | 0950-7051 |
| Published: |
Elsevier BV
2026
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa71166 |
| Keywords: |
Natural language processing; Generative artificial intelligence; Large language models; AI-generated text detection; Continual learning; Elastic weight consolidation |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
115206 |