SPAD: Seven-Source Token Probability Attribution with Syntactic Aggregation for Detecting Hallucinations in RAG
Published:Dec 8, 2025 12:50
•1 min read
•ArXiv
Analysis
The article introduces SPAD, a method for detecting hallucinations in Retrieval-Augmented Generation (RAG) systems. It leverages token probability attribution from seven different sources and employs syntactic aggregation. The focus is on improving the reliability and trustworthiness of RAG systems by addressing the issue of hallucinated information.
Key Takeaways
- •SPAD is a new method for detecting hallucinations in RAG systems.
- •It uses token probability attribution from seven sources.
- •Syntactic aggregation is employed to improve detection accuracy.
- •The research aims to enhance the reliability of RAG systems.
Reference
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