On NER annotation, retrieval-based RAG prompting usually outperforms random in-context learning, but the best LLMs still fall 3 to 20 F1 points below human annotators on hard datasets.
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LLMs as Data Annotators: How Close Are We to Human Performance
On NER annotation, retrieval-based RAG prompting usually outperforms random in-context learning, but the best LLMs still fall 3 to 20 F1 points below human annotators on hard datasets.