most citedConfronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

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cs.CL2023★ 2 cited

Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

Yanchen Liu, Srishti Gautam, Jiaqi Ma +1

Recent literature has suggested the potential of using large language models (LLMs) to make classifications for tabular tasks. However, LLMs have been shown to exhibit harmful soci…