Fairness-guided few-shot prompting for large language models

This survey concentrates on few-shots In-Context Learning (ICL) using retrieved examples for large language models, a key aspect of Retrieval-Augmented Generation (RAG).

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Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Fei Wu (2025). Dataset: Fairness-guided few-shot prompting for large language models. https://doi.org/10.57702/7jfuqnxz

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2401.11624
Author Huan Ma
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Changqing Zhang
Yatao Bian
Lemao Liu
Zhirui Zhang
Peilin Zhao
Shu Zhang
Fei Wu