MERIT introduces a multilingual expert-reward informed tuning approach for low-resource machine translation, with focus on Chinese-centric language pairs. The method leverages expert feedback to improve translation quality in scenarios with limited training data.
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MERIT: Multilingual Expert-Reward Informed Tuning for Chinese-Centric Low-Resource Machine Translation
Using expert-reward signals to compensate for limited training data, MERIT improves machine translation quality for Chinese-centric language pairs where traditional scaling approaches fall short.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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