LLM-NewsBench: Assessing Factuality, Hallucination, Headline Consistency, and Journalistic Quality in LLM-Generated News
Purpose: Large language models (LLMs) are increasing capabilities for producing fluent, cohesive, and publishable news stories but language quality by itself is not an indication of factual correctness. This paper champions LLM-NewsBench, a source-grounded benchmark for factual evaluation of LLM-generated news articles...