Retrieval-based selection of in-context examples improves few-shot biomedical named entity recognition F1 over random selection, with TF-IDF and SBERT outperforming ColBERT and DPR.
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Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models
Retrieval-based selection of in-context examples improves few-shot biomedical named entity recognition F1 over random selection, with TF-IDF and SBERT outperforming ColBERT and DPR.