Automated detection of contradictions in 5G network specifications using reinforcement learning-trained small LLM

Contradictions in telecommunications specifications can lead to implementation errors, interoperability issues, and security vulnerabilities. This paper presents a framework for automating the detection of contradictions in telecommunications standards using a 3B parameter large language model (LLM)...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2025; H. 1; S. 85 - 27
Hauptverfasser:	Zhang, Wenbin, Wei, Qiang, Chen, Haowen, Wang, Yunfeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 27.10.2025 Springer Nature B.V SpringerOpen
Schlagworte:	5G mobile communication 5G specification Accuracy Automation Cognition & reasoning Communications Engineering Communications networks Contradiction detection Cybersecurity Documents Emerging Technologies in Mobile Computing for IoT Connectivity and Edge Computing Engineering Hallucinations Information Systems Applications (incl.Internet) Internet of Things Interoperability Knowledge representation Language Large language models LLM Machine learning Natural language Network security Networks Power efficiency Privacy Reinforcement learning Semantics Signal,Image and Speech Processing Specifications Subject specialists Taxonomy Telecommunications LLM Contradiction detection 5G specification Reinforcement learning
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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