Fairness-guided Few-shot Prompting for Large Language Models

Large language models have demonstrated surprising ability to perform in-context learning, i.e., these models can be directly applied to solve numerous downstream tasks by conditioning on a prompt constructed by a few input-output examples. However, prior research has shown that in-context learning...

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Hauptverfasser: Ma, Huan, Zhang, Changqing, Bian, Yatao, Liu, Lemao, Zhang, Zhirui, Zhao, Peilin, Zhang, Shu, Fu, Huazhu, Hu, Qinghua, Wu, Bingzhe
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Sprache:eng
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