Kathleen performs byte-level text classification via recurrent oscillator banks, FFT wavetable encoding, and phase harmonics, matching pretrained baselines on standard benchmarks with 36% fewer parameters.
Recursive deep models for semantic compositionality over a sentiment treebank
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Kathleen: Oscillator-Based Byte-Level Text Classification Without Tokenization or Attention
Kathleen performs byte-level text classification via recurrent oscillator banks, FFT wavetable encoding, and phase harmonics, matching pretrained baselines on standard benchmarks with 36% fewer parameters.