Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs

In three linesarXiv study on Chain-of-Thought (CoT) impact on gender bias in LLMs. Researchers combine benchmark evaluation, mechanistic interpretability, and reasoning chain analysis. Finding: CoT does not consistently reduce bias gaps; observed improvements stem from memorization rather than genuine understanding, with gender bias remaining embedded in hidden representations.

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