SAM-NER improves cross-domain zero-shot NER by discovering entities, projecting them into domain-invariant semantic archetypes, and then calibrating those archetypes to target labels with a frozen LLM.
V erifi NER : Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
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SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
SAM-NER improves cross-domain zero-shot NER by discovering entities, projecting them into domain-invariant semantic archetypes, and then calibrating those archetypes to target labels with a frozen LLM.