High-quality data selection-driven instruction tuning for biomedical large language models
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This study presents a novel data selection framework for enhancing the training efficiency of large language models (LLMs) in biomedical natural language processing (NLP) tasks. We focus on critical tasks sourced from the biomedical dataset, encompassing named... ...
