LLM fairness scores shift substantially with positive vs negative framing of the same question, and DeFrame—a three-step self-revision prompt—reduces both average bias and this framing gap.
Subtle biases need subtler measures: Dual metrics for evaluating representative and affinity bias in large language models
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DeFrame: Debiasing Large Language Models Against Framing Effects
LLM fairness scores shift substantially with positive vs negative framing of the same question, and DeFrame—a three-step self-revision prompt—reduces both average bias and this framing gap.