AIBullisharXiv – CS AI · Mar 36/104
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MENLO: From Preferences to Proficiency -- Evaluating and Modeling Native-like Quality Across 47 Languages
Researchers introduce MENLO, a new framework for evaluating native-like quality in large language model responses across 47 languages. The study reveals significant improvements in multilingual LLM performance through reinforcement learning and fine-tuning, though gaps with human judgment persist.