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Jul, 2024
LLM-Select:大型语言模型的特征选择
LLM-Select: Feature Selection with Large Language Models
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Daniel P. Jeong, Zachary C. Lipton, Pradeep Ravikumar
TL;DR
通过实验结果表明,大型语言模型(LLMs)在无需查看训练数据的情况下,可准确选择预测特征,在各种查询机制下具备与数据科学标准工具相媲美的性能,这对于特征选择和数据收集至关重要。
Abstract
In this paper, we demonstrate a surprising capability of
large language models
(LLMs): given only input feature names and a description of a prediction task, they are capable of selecting the most
predictive features
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