SAP: Pruning Transformer Attention for Efficiency
Analysis
This research from SAP proposes Syntactic Attention Pruning (SAP) to improve the efficiency of Transformer-based language models. This method focuses on pruning attention heads, which may lead to faster inference and reduced computational costs.
Key Takeaways
Reference / Citation
View Original"The research is available on ArXiv."