JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

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Academic Paper

The use of Large Language Models (LLMs) in hiring has led to legislative actions to protect vulnerable demographic groups. This paper presents a novel framework for benchmarking hierarchical gender hiring bias in Large Language Models (LLMs) for resume scoring, revealing significant issues of reverse gender hiring bias and overdebiasing.

JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models

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