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