Author

G. V. Steeg

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#natural language process... Preprint Sep 2026

DEdit: Iterative Draft Editing for Speculative Decoding

Speculative decoding accelerates autoregressive LLMs by having a lightweight drafter propose tokens that the target model verifies in parallel. Diffusion-based drafters further reduce drafting latency by proposing multiple tokens at once. However, these tokens are predicted independently, so a single early error causes...

Long-Xuan Yu, Bingsen Chen, Peng Shi et al. · 0 citations

#natural language process... Preprint Sep 2026

Line-Coupled Language Model

The Line-Coupled Language Model (LCLM), an autoregressive model that advances multiple text lines together by predicting the next token for every active line while coupling the lines through shared causal context is introduced.

Shi-Yuan Li, Shao-Rong Zhang, Zhaorui Yang et al. · 0 citations