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Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Arxiv Link - 2023-10-13 01:31:59

Abstract

The collection and curation of high-quality training data is crucial for developing text classification models with superior performance, but it is often associated with significant costs and time investment. Researchers have recently explored using large language models (LLMs) to generate synthetic datasets as an alternative approach. However, the effectiveness of the LLM-generated synthetic data in supporting model training is inconsistent across different classification tasks. To better understand factors that moderate the effectiveness of the LLM-generated synthetic data, in this study, we look into how the performance of models trained on these synthetic data may vary with the subjectivity of classification. Our results indicate that subjectivity, at both the task level and instance level, is negatively associated with the performance of the model trained on synthetic data. We conclude by discussing the implications of our work on the potential and limitations of leveraging LLM for synthetic data generation.

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Curating high-quality training data is crucial for text classification models, but can be costly and time-consuming. Researchers are now exploring the use of Large Language Models (LLMs) to generate synthetic datasets as a cost-effective alternative. However, the effectiveness of LLM-generated synthetic data varies across different tasks.

In a recent study, we delved into the impact of subjectivity on model performance when trained on synthetic data. Our findings reveal a negative association between subjectivity levels and model performance. This sheds light on the factors moderating the effectiveness of LLM-generated synthetic data.

For a deep dive into our study and its implications on leveraging LLMs for synthetic data generation, check out the full article here: http://arxiv.org/abs/2310.07849v2

#AI #NLP #LLMs #Research #Tech #TextClassification #DataScience

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🚀 New research alert! Discover how subjectivity impacts the effectiveness of large language models in generating synthetic data for text classification tasks. 📊 Check out the study here: http://arxiv.org/abs/2310.07849v2 #AI #NLP #LLMs #TechResearch

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