Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Upper-crust thermal evolution of the Patagonian Precordillera basement (Argentina): insights from fission track, (U-Th)/He thermochronology and geodynamic significance
Published 2025“…Most thermal models show similar decreasing time-temperature paths (t-T), from which three stages are distinguished. …”
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S1 File -
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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Confusion matrix for ClinicalBERT model.
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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1137
Confusion matrix for LastBERT model.
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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1138
Student model architecture.
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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Configuration of the LastBERT model.
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”
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1140
Confusion matrix for DistilBERT model.
Published 2025“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”