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Measuring Human-Like Bias in LLMs? A Critique of Human-Derived Bias Constructs in LLM Evaluation

Researchers increasingly use human-derived bias constructs to study Large Language Models (LLMs), including social-cognitive constructs such as implicit bias and stereotype activation, and cognitive biases such as anchoring, framing effects, and confirmation bias.

By Antonela Tommasel, Markus SchedlarXiv - cs.CL (NLP)

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Originally published by arXiv - cs.CL (NLP) on Oct 2, 2026.

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