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

AlDahoul, Nouar et al.
arXiv (All) · Papers
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computation-and-languagecomputers-and-society
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 sim
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