Assessing LLM Hallucination: Training Data Coverage and its Impact
Published:Nov 22, 2025 06:59
•1 min read
•ArXiv
Analysis
This ArXiv paper investigates a crucial aspect of Large Language Models: hallucination detection. The research likely explores the correlation between the coverage of lexical training data and the tendency of LLMs to generate fabricated information.
Key Takeaways
Reference
“The paper focuses on the impact of lexical training data coverage.”