arXiv — NLP / Computation & Language · · 3 min read

Loop the Loopies!

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Computer Science > Computation and Language

arXiv:2607.16051 (cs)
[Submitted on 17 Jul 2026]

Title:Loop the Loopies!

View a PDF of the paper titled Loop the Loopies!, by Zitian Gao and 6 other authors
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Abstract:We present Loopie, the most powerful looped Transformer to date. The Loopie series consists of two Mixture-of-Experts (MoE) models: a 20B-parameter model with 2B active parameters and a 6Bparameter model with 0.6B active parameters. Looped Transformers have long faced a challenge: given an N-fold increase in pre-training compute, increasing the parameter count by a factor of N usually outperforms looping a model N times. Loopie addresses this challenge. Extensive ablation studies, including comparisons with a vanilla 30B-A3B model, show that Loopie substantially outperforms vanilla Transformer baselines trained with the same compute budget. Our novel post-training pipeline equips Loopie with strong reasoning abilities. At the 2025 IMO and IPhO, Loopie achieves gold-medal performance without tools.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2607.16051 [cs.CL]
  (or arXiv:2607.16051v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.16051
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Zitian Gao [view email]
[v1] Fri, 17 Jul 2026 15:28:43 UTC (829 KB)
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