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Abbas Rashid Butt

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Open access Sep 2026

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...

Muiz Mir Ayesha, Abbas Rashid Butt · 0 citations

: Assessing

These results demonstrate that headline similarity, semantic presentation, and stylistic quality are insufficient indicators of source-based fact complexity, and LLM-NewsBench establishes an operationalized reproducible multi-faceted computer-based evaluation infrastructure for news generation benchmarking, automated s...

A. М. Mir, Abbas Rashid Butt · 0 citations

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