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Model Details

Model Description

The LongFormer Paper Classification model developed by Reem, is designed to classify research papers into four citation categories (Level 1, Level 2, Level 3, and Level 4) based on their citation counts.

Uses

The model is intended for researchers, academics, and institutions to analyze the impact and visibility of research papers based on their citation counts

Bias and Limitations

Users should be cautious of potential biases in the training data and publication practices, and validate predictions with domain expertise.

Training Details

Training Data

The model is trained on a dataset of labeled research papers with citation categories. Fine-tuning hyperparameters are used during training.

Evaluation

Evaluation metrics include accuracy, precision, recall, and F1 score across citation categories.

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