BANER combines boundary-aware contrastive learning with LoRAHub composition to improve few-shot NER with LLaMA-2-7B, claiming state-of-the-art F1 scores on Few-NERD and four cross-dataset benchmarks.
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BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
BANER combines boundary-aware contrastive learning with LoRAHub composition to improve few-shot NER with LLaMA-2-7B, claiming state-of-the-art F1 scores on Few-NERD and four cross-dataset benchmarks.