Author

Anej Svete

ETH Zurich, Allen Institute for AI

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Preprint Aug 2026

Disentangling the Expressivity of RoPE

It is found that, if every rotary component is periodic, RoPE transformers recognize exactly the languages definable in past temporal logic with modular predicates.

Selim Jerad, Anej Svete, Jiaoda Li et al. · 0 citations

Jun 2026

Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers

LOTUS is, to the authors' knowledge, the first latent-CoT method to bridge the gap to explicit CoT at the 3B scale, while cutting thought-phase latency by 2.5x-6.9x from compact math expressions to natural language.

Ying Fan, Anej Svete, Kangwook Lee · arXiv.org · 4 citations