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Adaptive depth ·

MoEUT

MoEUT: Mixture-of-Experts Universal Transformers

Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning

Combines the Universal Transformer with mixture-of-experts layers to study shared depth and sparse capacity.

Inside the method

[ Shared attention + MoE ] × R

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

Recurrence family
Adaptive depth
Depth control
See paper
KV / state strategy
See paper

Reading note

Code and checkpoint availability have not been audited for this entry.

Sources checked 2026-09-15. This catalog does not imply independent reproduction.

Cite this work

@misc{moeut2024,
  title = {MoEUT: Mixture-of-Experts Universal Transformers},
  author = {Róbert Csordás and Kazuki Irie and Jürgen Schmidhuber and Christopher Potts and Christopher D. Manning},
  year = {2024},
  eprint = {2405.16039},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2405.16039}
}

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