Large Language Model Enhanced Machine Learning Estimators for Classification

arXiv:2405.05445v1 Announce Type: new
Abstract: Pre-trained large language models (LLM) have emerged as a powerful tool for simulating various scenarios and generating output given specific instructions and multimodal input. In this work, we analyze the specific use of LLM to enhance a classical supervised machine learning method for classification problems. We propose a few approaches to integrate LLM into a classical machine learning estimator to further enhance the prediction performance. We examine the performance of the proposed approaches through both …

abstract analyze arxiv classification cs.lg language language model language models large language large language model large language models llm machine machine learning multimodal supervised machine learning tool type work