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Confidence-Reward Driven Preference Optimization for Machine Translation

Confidence-Reward Driven Preference Optimization for Machine Translation

Published 1 year, 5 months ago
Description

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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