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This paper from Xiaomi introduces reference-free post-training for multilingual machine translation, applying GRPO with quality-estimation rewards to the MiLMMT-46-v0.1 SFT models, producing MiLMMT-46-v1.0 that improves translation across 46 languages and outperforms open and proprietary baselines.
This paper introduces MiLMMT-46-v1.0, a multilingual machine translation model improved via reference-free post-training with GRPO and checkpoint interpolation, surpassing strong open and proprietary baselines across 46 languages.
Mix-MoE proposes a mixed Mixture-of-Experts framework with specialized expert groups and Fourier-transform-enhanced routing to mitigate parameter interference in multilingual machine translation, achieving significant improvements over baselines.