This article presents a detailed study on the factors influencing social biases in Masked Language Models (MLMs) and their performance in downstream tasks. The researchers studied 39 pretrained MLMs covering…
Continue readingThe study investigates the capacity of large language models to store and extract knowledge. It questions whether the model’s responses are based on exposure to similar questions during training or…
Continue readingThis research presents a novel approach to analyzing crystalline defects in metallic devices using deep learning. The authors developed a parametric model for generating synthetic training data to segment dislocations,…
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