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Advancing Entity Recognition in Biomedicine via Instruction Tuning of Large Language Models

This repository contains the code and resources accompanying the paper titled "Advancing Entity Recognition in Biomedicine via Instruction Tuning of Large Language Models." The paper explores the use of instruction-based learning paradigm to transform biomedical Named Entity Recognition (NER) from a sequence labeling task to a generation task using Large Language Models (LLMs).

More details to be updated soon.