2022
Fine-Tuning Pre-trained Transformers into Decaying Fast Weights
EMNLP 2022main
Autoregressive Transformers are strong language models but incur O(T) complexity during per-token generation due to the self-attention mechanism. Recent work proposes kernel-based methods to approximate causal self-attention by replacing it with recurrent formulations with various update rules and f…