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A Systematic Analysis of Biases in Large Language Models

Xulang Zhang, Rui Mao, Erik Cambria
Jun 5, 2026 at 04:00
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arXiv:2512.15792v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have rapidly become indispensable tools for acquiring information and supporting human decision-making. However, ensuring that these models uphold fairness across varied contexts is critical to their safe and responsible deployment. In this study, we undertake...

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