Structured-matrix scoring functions, BTT and MLR, let attention escape the low-rank bottleneck and add a distance-dependent compute bias, improving accuracy for fixed compute on regression, language modeling, and forecasting.
Building on efficient foundations: Effective training of LLM s with structured feedforward layers
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
Structured-matrix scoring functions, BTT and MLR, let attention escape the low-rank bottleneck and add a distance-dependent compute bias, improving accuracy for fixed compute on regression, language modeling, and forecasting.