Author

Nouar Aldahoul

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#artificial intelligence Preprint Oct 2026

From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers Believe

LLMs increasingly fact-check online content with the poster's identity in view. However, it remains unclear which post-training changes how much a model's truth judgement depends on the poster's social class, and how such a change happens inside the model. This paper investigates job-based doubt, i.e., judging a claim...

Nouar Aldahoul, Yasir Zaki · 0 citations

#natural language process... Preprint Oct 2026

Veracity labels flip the emotional tone of language models but leave racial disparities intact

Large language models (LLMs) increasingly deliver information through personas, but it is unclear whether correcting the facts also makes their framing consistent across identity labels. We audited four LLMs (GPT-5.4 mini, NVIDIA Nemotron 3 Nano, Llama 4 Scout, and Claude Haiku 4.5), which rated simulated affect on six...

Nouar Aldahoul, M. J. Tan, Yasir Zaki · 0 citations