황경찬

Causal Whitespace Patching for Korean Byte-Latent Language Models: Quality-Preserving Latency and the Limits of Scale Amplification

Byte-latent language models amortize global Transformer compute by grouping raw bytes into patches, but fewer patches need not preserve quality or reduce end-to-end latency. This study tests causal whitespace-informed patching on Korean in identical byte-latent graphs, separating...