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Assessing the Impact of Pretraining Domain Relevance on Large Language Models Across Various Pathology Reporting Tasks

2023-09-11

Abstract excerpt

<h4>ABSTRACT</h4> Deep learning (DL) algorithms continue to develop at a rapid pace, providing researchers access to a set of tools capable of solving a wide array of biomedical challenges. While this progress is promising, it also leads to confusion regarding task-specific model choices, where deeper investigation is necessary to determine the optimal model configuration. Natural language processing (NLP) has the...

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Literature Corpus work
5150d7d6-accf-53e8-af96-7741b3b3ec48
DOI
10.1101/2023.09.10.23295318
Open publication

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Assessing the Impact of Pretraining Domain Relevance on Large Language Models Across Various Pathology Reporting TasksDOI 10.1101/2023.09.10.23295318
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