Automated detection of contradictions in 5G network specifications using reinforcement learning-trained small LLM
Authors:
Open Access
- 27 October 2025
- journal article
- research article
- Published by Springer Nature in EURASIP Journal on Wireless Communications and Networking
- Vol. 2025 (1) , 1-27
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- A Method for Synthesizing Ontology-Based Textual Design Datasets: Evaluating the Potential of Large Language Model in Domain-Specific Dataset GenerationJournal of Mechanical Design, 2025
- ACECODER: Acing Coder RL via Automated Test-Case Synthesis2025
- EdgeShard: Efficient LLM Inference via Collaborative Edge ComputingIEEE Internet of Things Journal, 2024
- Automated requirement contradiction detection through formal logic and LLMsAutomated Software Engineering, 2024
- ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models2024
- Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language Models2023
- Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graphISA Transactions, 2023
- Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias2023
- ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts2021