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        <title>SpinPop: A Fast Spin Metric for the WMT26 Metrics Shared Task</title>
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    <abstract>We describe our submission to the WMT26 Shared Task on Automated Translation Quality Evaluation. Our primary system is a per-language-pair, z-normalized, weight-free ensemble that combines six complementary signals: our novel metric SpinPop, COMET-22, and four large language model judges.\par SpinPop is training-free, constant-cost, tokenization-agnostic, broadly multilingual, and deterministic. Within its encoder’s language coverage it scores every segment, with or without a reference, using a single frozen-encoder pass that runs locally and requires no paid API calls.\par Our system achieves a mean per-language-pair Pearson correlation of $0.8534$, ranking second on the WMT26 Task~2 leaderboard. The results demonstrate that a simple unsupervised ensemble of a spin-code metric, a neural metric, and multiple LLM judges can achieve top-tier performance with equal weights.</abstract>
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%0 Conference Proceedings
%T SpinPop: A Fast Spin Metric for the WMT26 Metrics Shared Task
%A Xu, Jia
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Eleventh Conference on Machine Translation
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-474-3
%F xu-2026-spinpop
%X We describe our submission to the WMT26 Shared Task on Automated Translation Quality Evaluation. Our primary system is a per-language-pair, z-normalized, weight-free ensemble that combines six complementary signals: our novel metric SpinPop, COMET-22, and four large language model judges.\par SpinPop is training-free, constant-cost, tokenization-agnostic, broadly multilingual, and deterministic. Within its encoder’s language coverage it scores every segment, with or without a reference, using a single frozen-encoder pass that runs locally and requires no paid API calls.\par Our system achieves a mean per-language-pair Pearson correlation of $0.8534$, ranking second on the WMT26 Task~2 leaderboard. The results demonstrate that a simple unsupervised ensemble of a spin-code metric, a neural metric, and multiple LLM judges can achieve top-tier performance with equal weights.
%U https://aclanthology.org/2026.wmt-main.110/
%P 1757-1762

Markdown (Informal)

[SpinPop: A Fast Spin Metric for the WMT26 Metrics Shared Task](https://aclanthology.org/2026.wmt-main.110/) (Xu, WMT 2026)

• SpinPop: A Fast Spin Metric for the WMT26 Metrics Shared Task (Xu, WMT 2026)

ACL

• Jia Xu. 2026. SpinPop: A Fast Spin Metric for the WMT26 Metrics Shared Task. In Proceedings of the Eleventh Conference on Machine Translation, pages 1757–1762, Budapest, Hungary. Association for Computational Linguistics.