Hamid Hassanzadeh

LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition

In-context learning (ICL) enables large language models (LLMs) to perform new tasks using only a few demonstrations. In Named Entity Recognition (NER), demonstrations are typically selected based on semantic similarity to the test instance, ignoring training labels and resulting in suboptimal perfor