AXOLOTL addresses bias in Large Language Models by identifying biases, proposing resolutions, and guiding the model to self-debias. It minimizes computational costs and preserves model performance effectively. The approach resembles zero-shot learning and treats LLMs as black boxes, making it a promising tool for debiasing with broad applicability.
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by Sana Ebrahim... at arxiv.org 03-04-2024
https://arxiv.org/pdf/2403.00198.pdfDeeper Inquiries