FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention
FFT-based spectral preprocessing of learned query-key (Q/K) projections substantially improves transformer attention on character-level language modelling and defines an architectural boundary between bilateral spectral attention and genuinely causal spectral attention at word-scale tokenisation.