Charles R. Kelly

Autogenerating a Domain-Specific Question-Answering Data Set to Enable High-Performing Language Models for Magnetic Materials

Results demonstrate that domain-specific BERT models only need to be finetuned from vanilla BERT models (i.e. no domain-adaptive pretraining is needed), pending the availability of sufficiently large, high-quality, domain-specific QA data sets that this work shows how to autogenerate.