Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Studies gating in softmax attention. Head-specific sigmoid gates after scaled dot-product attention provide a controlled way to examine nonlinearity, sparsity, training stability, and attention sinks.

Studies gating in softmax attention. Head-specific sigmoid gates after scaled dot-product attention provide a controlled way to examine nonlinearity, sparsity, training stability, and attention sinks.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

Studies gating in softmax attention. Head-specific sigmoid gates after scaled dot-product attention provide a controlled way to examine nonlinearity, sparsity, training stability, and attention sinks.

Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.