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Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation

The study applies reference-free post‑training to open large language models for multilingual machine translation, using Group Relative Policy Optimization with a reward that averages two reference‑free quality estimatio…

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Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness

Researchers introduce Cultivar, a contrastive and locale-oriented translation benchmark derived from a localized subset of FLORES, designed to address contamination and localization challenges in multilingual translation…

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