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Chun Yuan

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#artificial intelligence Preprint Sep 2026

Shallow Queries, Mature Values: Depth-Asynchronous Self-Speculation for Looped Transformers

Looped Transformers reuse a shared block across recurrent depths, making autoregressive decoding expensive because every generated token requires many sequential recurrent passes. Self-speculative decoders reduce this cost by drafting at an early depth and verifying at full depth, but typically bind draft computation t...

Guang-Hao Li, Zi-Han Su, Hao Yu et al. · 0 citations
Preprint Aug 2026

PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

PaDoc is proposed, a layout-grounded parser that treats the predicted layout as a branching structure over a shared page representation that is the fastest end-to-end parser at five concurrency levels and is the fastest end-to-end parser at five concurrency levels.

Hao Yu, Jia-Bo Zhan, Kang Liu et al. · 1 citation

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