Implementing mixed bidirectional and block-causal autoregression with byte-level tokens
kalomaze · x · 2026-08-19
The author proposes a technical approach: embedding byte-level tokens in a Transformer, concatenating and projecting the final hidden states of byte tokens over spans defined locally by BPE, enabling mixed-bidirectional length and block-causal exact autoregression. A reply notes that hybrid linear recurrence architectures are limited by their strict token-level causality, lacking room for block-causality or arbitrary bidirectional spans.
Related event: Byte-Level Embeddings Enable Hybrid Autoregression in Transformers(2 posts)→
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