PairAlign: A Framework for Autoregressive Tokenization via Self-Alignment with Applications to Audio Tokenization
These results expose a rate-granularity trade-off: PairAlign does not uniformly outperform denser tokenizers on every local metric, but provides a lower-rate symbolic interface preserving ordered and relational structure.
Adhiraj Banerjee, Vipul Arora
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