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Korea University
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CRPO reveals that leveraging English preference data can dramatically enhance multilingual LLM performance, outperforming standard methods across diverse languages.
ACOER reduces token generation by over 60% while boosting accuracy, solving the reward collapse problem that plagues traditional efficiency training methods.
