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Many complex natural language processing (NLP) tasks require labeled data to effectively train machine learning models. However, human annotation, which entails assigning precise labels to data for these tasks, is both time-consuming and costly

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Large Language Models Are Human-Like Annotators

  • 会议论文

  • 发表日期：

    2025年

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  • Mounika Marreddy,
  • Subba Reddy Oota,
  • Manish Gupta

摘要

Many complex natural language processing (NLP) tasks require labeled data to effectively train machine learning models. However, human annotation, which entails assigning precise labels to data for these tasks, is both time-consuming and costly