
MVRE verbessert die Darstellung von Beziehungen in niedrig-ressourcenbasierten Prompt-basierten Ansätzen durch Multi-View Decoupling Learning.


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verbesserung-der-darstellung-von-beziehungen-mit-multi-view-decoupling-learning-in-niedrig-ressourcenbasierten-prompt-basierten-ansätzen


Verbesserung der Darstellung von Beziehungen mit Multi-View Decoupling Learning in niedrig-ressourcenbasierten Prompt-basierten Ansätzen


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Large language models can effectively perform few-shot relation extraction tasks with the CoT-ER approach, outperforming fully-supervised methods.


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Few-shot Relation Extraction with CoT-ER Approach



Retrieval-Augmented Generation-based Relation Extraction (RAG4RE) approach can outperform traditional Relation Extraction methods by integrating relevant example sentences into the prompt, mitigating hallucination issues in Large Language Models.


retrieval-augmented-generation-based-relation-extraction-enhancing-performance-through-relevant-sentence-integration


Retrieval-Augmented Generation-based Relation Extraction: Enhancing Performance through Relevant Sentence Integration
