A prompt-tuned LLM with data augmentation and cultural context prompts reportedly recognizes multicultural names at 93.1% accuracy and unseen names at 89.5%, but the evidence is not reproducible.
Liberating seen classes: Boosting few-shot and zero-shot text classification via anchor generation and classification reframing,
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Large Language Models for Zero-Shot Multicultural Name Recognition
A prompt-tuned LLM with data augmentation and cultural context prompts reportedly recognizes multicultural names at 93.1% accuracy and unseen names at 89.5%, but the evidence is not reproducible.