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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Confusion matrix for LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Student model architecture.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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Configuration of the LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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204
Confusion matrix for DistilBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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ROC curve for LastBERT model.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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206
Sample Posts from the ADHD dataset.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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207
Top-level overview for ADHD classification study.
Published 2025“…The study emphasizes the possibilities of knowledge distillation to produce effective models fit for use in resource-limited conditions, hence advancing NLP and mental health diagnosis. Furthermore underlined by the considerable decrease in model size without appreciable performance loss is the lower computational resources needed for training and deployment, hence facilitating greater applicability. …”
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ASDR of Tuberculosis for the 21 Global Burden of Disease regions by SDI, 1990-2021.
Published 2025Subjects: -
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Death number, ASMR under the age of 20 in 204 countries and territories in 2021.
Published 2025Subjects: -
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ASMR of Tuberculosis for the 21 Global Burden of Disease regions by SDI, 1990-2021.
Published 2025Subjects: -
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