LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction

arXiv:2403.00863v1 Announce Type: cross
Abstract: Product attribute value extraction is a pivotal component in Natural Language Processing (NLP) and the contemporary e-commerce industry. The provision of precise product attribute values is fundamental in ensuring high-quality recommendations and enhancing customer satisfaction. The recently emerging Large Language Models (LLMs) have demonstrated state-of-the-art performance in numerous attribute extraction tasks, without the need for domain-specific training data. Nevertheless, varying strengths and weaknesses are exhibited by different LLMs due to the diversity in data, architectures, …

abstract arxiv commerce cs.ai cs.cl cs.ir customer customer satisfaction e-commerce ensemble extraction industry language language model language models language processing large language large language model large language models llm llms natural natural language natural language processing nlp pivotal processing product quality recommendations type value values