spk-22/Bio-PruneNER
This project presents an adaptive token pruning framework for improving inference efficiency in BioBERT-based Biomedical Named Entity Recognition (NER). The system uses attention entropy and confidence-based scoring to identify low-importance tokens and dynamically prune them during inference.
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Feb 11, 2026
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