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Achieving 90% sparsity, BnBERT-iPET rivals larger models while drastically reducing computational costs for Bengali NLP tasks.
A novel transformer framework achieves superior assessment of rehabilitation exercises by effectively extracting and utilizing joint position features from RGBD data.
Systematic biases in transformer-based time-series forecasting can be effectively mitigated by decoupling prediction and residual learning into a two-stage framework.
