
Large language models can achieve competitive performance in few-shot relation extraction tasks using the CoT-ER approach, which incorporates explicit evidence reasoning.


coremsg

explicit-evidence-reasoning-for-few-shot-relation-extraction-with-chain-of-thought-approach


Explicit Evidence Reasoning for Few-shot Relation Extraction with Chain of Thought Approach


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This work introduces a meta dataset for few-shot relation extraction that captures realistic real-world scenarios, and conducts a comprehensive evaluation of six recent few-shot relation extraction methods, revealing the need for substantial future research in this domain.


towards-realistic-few-shot-relation-extraction-a-new-meta-dataset-and-comprehensive-evaluation


Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Comprehensive Evaluation
