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Listen "Confidence-Reward Driven Preference Optimization for Machine Translation"
Episode Synopsis
The paper "CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation" introduces a novel approach to improving machine translation (MT) performance by leveraging both reward scores and model confidence for data selection during fine-tuning.
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