What is the impact of domain-specific fine-tuning on BEIR-NL datasets on downstream task performance measured

Abstract

Abstract: Since the inception of the Transformer architecture in 2017, Large Language Models (LLMs) such as GPT and BERT have evolved significantly, impacting various industries with their advanced capabilities in language understanding and generation. These models have shown potential to transform the medical field, highlighting the necessity for specialized evaluation frameworks to ensure their effective and ethical deployment. This comprehensive survey delineates the extensive application and requisite evaluation of LLMs within healthcare, emphasizing the critical need for empirical validation to ful

Research Question

What is the impact of domain-specific fine-tuning on BEIR-NL datasets on downstream task performance measured by MRR and R@100 improvements?

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