Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors

arXiv:2404.17807v1 Announce Type: new
Abstract: Relation extraction (RE) is an important task that aims to identify the relationships between entities in texts. While large language models (LLMs) have revealed remarkable in-context learning (ICL) capability for general zero and few-shot learning, recent studies indicate that current LLMs still struggle with zero and few-shot RE. Previous studies are mainly dedicated to design prompt formats and select good examples for improving ICL-based RE. Although both factors are vital for ICL, if one can …

abstract arxiv capability context cs.ai cs.cl current extraction few-shot few-shot learning general identify in-context learning language language models large language large language models llms meta relationships studies type while