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Core recurrence

Universal YOCO

Universal YOCO for Efficient Depth Scaling

Yutao Sun, Li Dong, Tianzhu Ye, Shaohan Huang, Jianyong Wang, Furu Wei

Combines the YOCO decoder-decoder design with recursion: a Universal Self-Decoder iterates with shared parameters, but only over shallow efficient-attention layers, while YOCO's constant global KV cache and linear prefill stay intact.

Inside the method

[ Self-decoder (efficient attention) ] × r → cross-decoder over one global KV cache

Simplified conceptual schematic. Consult the paper for the complete architecture.

Recurrence family
Core recurrence
Depth control
Partial recursion in the self-decoder
KV / state strategy
Constant global KV cache (YOCO)

Reading note

Remains competitive on general and long-context benchmarks with better token utility and scaling than either YOCO or recursion alone.

Sources checked 2026-10-28. This catalog does not imply independent reproduction.

Related works

Cite this work

@misc{yocou2026,
  title = {Universal YOCO for Efficient Depth Scaling},
  author = {Yutao Sun and Li Dong and Tianzhu Ye and Shaohan Huang and Jianyong Wang and Furu Wei},
  year = {2026},
  eprint = {2604.01220},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2604.01220}
}

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