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MAG leverages abundant unlabeled multi-modal data to boost few-shot learning performance, achieving significant gains in label-scarce environments.
PAMT reveals that aligning translation processes with rewards can significantly enhance multi-domain machine translation performance, especially in complex scenarios.
