FFT-based spectral preprocessing of Q/K projections reduces character-level TinyShakespeare validation loss by up to 79% over standard dot-product attention, with gains attributed to phase-coherent global sequence mixing.
RoFormer : Enhanced transformer with rotary position embedding
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FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention
FFT-based spectral preprocessing of Q/K projections reduces character-level TinyShakespeare validation loss by up to 79% over standard dot-product attention, with gains attributed to phase-coherent global sequence mixing.