Bias

Beyond Single-Pair Comparison: Robust Stereotype Evaluation in LLMs via Dual Minimal Pairs

大型語言模型偏見評估新突破：引入雙重極小對立組與互資訊指標

This paper addresses the instability of traditional LLM bias evaluation by proposing a dual minimal pair framework and a Mutual Information-based metric for robust, cross-lingual stereotype measurements.