SemViQA introduces a novel framework for Vietnamese fact-checking that balances accuracy and efficiency through semantic analysis.

• Combines Semantic-based Evidence Retrieval (SER) with Two-step Verdict Classification (TVC)
• Specifically designed to handle Vietnamese language nuances and complexities
• Addresses critical security concerns by combating LLM-generated misinformation
• Provides a practical solution for low-resource language fact-checking

This research demonstrates how semantic technologies can strengthen information security by detecting misinformation in languages where fact-checking resources are limited, offering a model for other low-resource languages.

SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking